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Dynamic (Temporal) Graph Learning Reading List

I scanned over the accepted paper lists of top machine learning and data mining conferences for interests in dynamic (temporal) graph learning. If you are interested in graph learning, please refer to Graph Learning Reading List.

We also recommend you refer to Awesome-DynamicGraphLearning for further reading.

Contents

AAAI-2026

  1. LORETTA: A Low Resource Framework to Poison Continuous Time Dynamic Graphs.

    Himanshu Pal, Venkata Sai Pranav Bachina, Ankit Gangwal, Charu Sharma

  2. HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition.

    Weiyi Ye, Xu-Hua Yang, Dong Wei, Gang-Feng Ma, Yujiao Huang, Xiao-Xin Li

  3. LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs.

    Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang

  4. BAG: Benchmarking Anomaly Detection on Dynamic Graphs.

    Fengrui Hua, Yiyan Qi, Zikai Wei, Yuxing Tian, Chengjin Xu, Xiaojun Wu, Jia Li, Jian Guo

  5. FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs.

    Chao Li, Runshuo Liu, Zhongying Zhao, Hui Zhou, Qingtian Zeng

  6. Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution.

    Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang

  7. TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion.

    Zexuan Wan, Bo Wang, Kuofei Fang, Bin Wu

  8. Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning.

    Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo

  9. Meta Dynamic Graph for Traffic Flow Prediction.

    Yiqing Zou, Hanning Yuan, Qianyu Yang, Ziqiang Yuan, Shuliang Wang, Sijie Ruan

  10. Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm.

    Masahiro Mitani, Yuya Sasaki

  11. T3former: Temporal Graph Classification with Topological Machine Learning.

    Md Joshem Uddin, Soham Changani, Baris Coskunuzer

  12. Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks.

    Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde, Sumedh B. G, Sonia Gupta, Srikanta Bedathur

  13. SAR: A Structure-Aligned Reasoning Framework for Temporal Knowledge Graph Question Answering.

    Qianyi Hu, Jiaxue Liu, Xinhui Tu, Shoujin Wang

  14. Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection.

    Xin Liu, Yuanhang Yu, Peng Zhu, Dawei Cheng, Changjun Jiang

WWW-2026

  1. Exploring Sequential Dynamics on Temporal Graphs via Composite Filtering.

    Yuanyuan Xu, Danni Wu, Xuemin Lin, Dong Wen, Wenjie Zhang, Lei Chen, Ying Zhang

  2. Graph Retention Networks for Dynamic Graphs.

    Qian Chang, Xia Li, Xiufeng Cheng, Runsong Jia, Jinqing Yang, Guoping Hu, Ciprian Doru Giurcaneanu

  3. TAWRMAC: A Novel Dynamic Graph Representation Learning Method.

    Soheila Farokhi, Xiaojun Qi, Hamid Karimi

  4. Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts.

    Qianyu Song, Chao Li, Yeyu Yan, Hui Zhou, Zhongying Zhao, Qingtian Zeng

  5. Sustained Vertex Cover on Temporal Graphs.

    Junqiang Peng, Tian Bai, Jingyang Zhao, Mingyu Xiao

  6. DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes.

    Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen

  7. A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures.

    Runshuo Liu, Chao Li, Zhongying Zhao, Hui Zhou, Qingtian Zeng

  8. DSTAG: A Semantic Tag-Enhanced Dual-Graph Convolutional Network for Temporal Knowledge Graph Completion.

    Yuchao Zhang, Xiangjie Kong, Kailun Ye, Shangfei Zheng, Guojiang Shen

  9. Dual History Enhancement with Hybrid Hypergraph-Graph Networks for Temporal Knowledge Graph Reasoning.

    Kailun Ye, Xiangjie Kong, Yuchao Zhang, Xuan Wang, Linan Zhu, Jiaxin Du, Guojiang Shen, Jianxin Li

  10. MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning.

    Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang

  11. Node Role-Guided LLMs for Dynamic Graph Clustering.

    Dongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang

  12. Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso.

    Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

  13. Credit and Power Co-evolution Modeling with Dynamic Graph Learning.

    Wenhao Ying, Peng Zhu, Mingzhe Li, Ziyan Wang, Dawei Cheng

IJCAI-2025

  1. Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking.

    Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao

  2. Efficient Dynamic Graphs Learning with Refined Batch Parallel Training.

    ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song

  3. MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking.

    Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu

  4. ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs.

    Yifan Hong, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang

  5. Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling.

    Xixi Li, Zhuo Gu, Rui Yao, Yong Zhou, Hancheng Zhu, Jiaqi Zhao, Wenliang Du

  6. Heterogeneous Temporal Hypergraph Neural Network.

    Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin

  7. DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation.

    Yezi Liu, Jiaxuan Xie, Yanning Shen

  8. DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting.

    Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu

  9. BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling.

    Yixuan Zhao, Hongkai Wen, Xingchen Zhang, Man Luo

ICML-2025

  1. CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs.

    Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang

  2. CoDy: Counterfactual Explainers for Dynamic Graphs.

    Zhan Qu, Daniel Gomm, Michael Färber

  3. MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge.

    Yue Dai, Liang Liu, Xulong Tang, Youtao Zhang, Jun Yang

  4. A Selective Learning Method for Temporal Graph Continual Learning.

    Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen

KDD-2025

  1. SGD-DyG: Self-Reliant Global Dependency Apprehending on Dynamic Graphs.

    Minglian Han, Ling Wang, Ye Yuan, Xin Luo

  2. TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer.

    Jie Peng, Zhewei Wei, Yuhang Ye

  3. Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time.

    Zixing Song, Muzhi Li, Yifei Zhang, Irwin King, José Miguel Hernández-Lobato

  4. Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks.

    Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou

  5. Temporal Graph Learning Workshop.

    Shenyang Huang, Daniele Zambon, Andrea Cini, Farimah Poursafaei, Jacob Chmura, Julia Gastinger, Reihaneh Rabbany, Michael M. Bronstein

  6. Bi-Dynamic Graph ODE for Opinion Evolution.

    Bowen Duan, Henggang Deng, Jinghua Piao, Huandong Wang, Yue Wang

  7. CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship.

    Yeon-Chang Lee, Jaehyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim

  8. Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks.

    QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu

  9. ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction.

    Kaiwen Xia, Li Lin, Shuai Wang, Qi Zhang, Shuai Wang, Tian He

  10. Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction.

    Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xiwei Xu, Xuemin Lin

  11. SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.

    Changchang Yin, Shihan Fu, Bingsheng Yao, Thai-Hoang Pham, Weidan Cao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang

SIGIR-2025

  1. MINTT: Memory Inductive Transfer for Temporal Graph Neural Networks

    Tanishq Dubey, Sidharth Agarwal, Shubham Gupta, Srikanta Bedathur

  2. Dynamic Graph Modeling with Contextual and Temporal Relevance

    Yuxia Wu, Lizi Liao, Yuan Fang

  3. HTGformer: Heterogeneous Temporal Graph Transformer

    Yili Wang

CIKM-2025

  1. Dynamic Graph Learning via Historical Information Perception and Multi-Granular Temporal Curriculum Learning.

    Yuehang Cao, Xiang Zhao, Yang Fang, Yan Pan, Jiuyang Tang

  2. Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults.

    Donghyun Jeon, Lijing Zhu, Haifang Li, Pengze Li, Jingna Feng, Tiehang Duan, Houbing Herbert Song, Cui Tao, Shuteng Niu

  3. D-HAT: Dynamic Hypergraph Representation Learning with Attention-Based Multi-Level Hypergraph Sampling.

    Ah-Hyun Lee, Gordon Euhyun Moon

  4. FinD3: A Dual 3D State Space Model with Dynamic Hypergraph for Financial Stock Prediction.

    Jieyuan Mei, Jindong Tian, Ronghui Xu, Hanyue Wei, Chenjuan Guo, Bin Yang

  5. Data-centric Prompt Tuning for Dynamic Graphs.

    Yufei Peng, Cheng Yang, Zhengjie Fan, Chuan Shi

  6. CoHN: Context-Aware Hawkes Graph Network for Temporal Knowledge Graph Reasoning.

    Xiaowei Tian, Xiaoyan Zhang, Xiaofeng Du, Tianbo Lu

  7. TCPN: Temporal Pyramidal Recurrent Network with Contrastive Learning for Temporal Knowledge Graph Reasoning.

    Liu Yang, Zixuan Luo, Tingxuan Chen, Zidong Wang, Limin Liu

  8. Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning.

    Zhigang Yu, Hao Yan, Ruochen Liu, Xianghan Wang, Haijun Zhang, Senzhang Wang

  9. FEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow Prediction.

    Wendong Zhang, Ruobai Xiang, Zhifang Liao, Peng Lan, Qihao Liang

  10. EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction.

    Haodi Zhong, Liuxin Zou, Di Wang, Bo Wan, Zhenxing Niu, Quan Wang

  11. Relational Multi-Path Enhancement for Extrapolative Relation Reasoning in Temporal Knowledge Graph.

    Linlin Zong, Chi Ma, Jiahui Zhou, Xinyue Liu, Wenxin Liang, Xianchao Zhang, Bo Xu

AAAI-2025

  1. LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs

    Kai Chen, Xin Song, Ye Wang, Liqun Gao, Aiping Li, Xiaojuan Zhao, Bin Zhou, Yalong Xie

  2. Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

    Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen

  3. THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction

    Yanchao Liu, Pengzhou Zhang, Wenchao Song, Yao Zheng, Deyu Li, Lei Shi, Junpeng Gong

  4. LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

    Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu, Tu Ao

  5. Dynamic Graph Learning with Static Relations for Credit Risk Assessment

    Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao

  6. Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere

    Sensen Zhang, Xun Liang, Simin Niu, Zhendong Niu, Bo Wu, Gengxin Hua, Long Wang, Zhenyu Guan, Hanyu Wang, Xuan Zhang, Zhiyu Li, Yuefeng Ma

  7. DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning

    Yukun Cao, LIsheng Wang, Luobin Huang

  8. A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

    Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Henry Hoffmann

  9. Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks

    Junwei Su, Shan Wu

  10. DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

    Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li

  11. Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method

    Jiate Li, Meng Pang, Binghui Wang

  12. How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs

    Argyrios Deligkas, Michelle Döring, Eduard Eiben, Tiger-Lily Goldsmith, George Skretas, Georg Tennigkeit

ICLR-2025

  1. Quality Measures for Dynamic Graph Generative Models.

    Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann

  2. Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency.

    Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He

  3. Node-Time Conditional Prompt Learning in Dynamic Graphs.

    Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

  4. INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph.

    Ningyuan Li, Haihong E, Tianyu Yao, Tianyi Hu, Yuhan Li, Haoran Luo, Meina Song, Yifan Zhu

  5. Rationalizing and Augmenting Dynamic Graph Neural Networks.

    Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo

  6. N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning.

    Liping Wang, Xujia Li, Jingshu Peng, Yue Wang, Chen Zhang, Yan Zhou, Lei Chen

WSDM-2025

  1. Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding.

    Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang

  2. Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification.

    Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang

  3. Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information.

    Zihan Qiu, Xiaoling Zhou, Chunyan An, Qiang Yang, Zhixu Li

  4. Hawkes Point Process-enhanced Dynamic Graph Neural Network.

    Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang

WWW-2025

  1. Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks.

    Yunming Hui, Inez Maria Zwetsloot, Simon Trimborn, Stevan Rudinac

  2. Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation.

    He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi

  3. TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network.

    Xin Wang, Jiawei Jiang, Xiao Yan, Qiang Huang

  4. Revisiting Dynamic Graph Clustering via Matrix Factorization.

    Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang

  5. Tackling Sparse Facts for Temporal Knowledge Graph Completion.

    Yuchao Zhang, Xiangjie Kong, Kailun Ye, Guojiang Shen, Shangfei Zheng

  6. Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs.

    Xin Zhang, Fei Cai, Jianming Zheng, Zhiqiang Pan, Wanyu Chen, Honghui Chen, Chonghao Chen

  7. Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach.

    Yingxuan Li, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, Ying Zhang

  8. Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection.

    Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang

ICDE-2025

  1. Preserving K-Connectivity in Dynamic Graphs.

    Gengda Zhao, Dong Wen, Xiaoyang Wang, Kai Wang, Xuemin Lin

  2. Efficient Learning-Based Graph Simulation for Temporal Graphs.

    Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang

  3. CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs.

    Zhuochen Fan, Yalun Cai, Zirui Liu, Jiarui Guo, Xin Fan, Tong Yang, Bin Cui

  4. DyFMVP: Say Goodbye to Staleness! Fresh Memory Vigorous Preserver for Continuous-Time Dynamic Graph.

    Jianye Pang, Xinjie Zhu, Xiaofei Xiong

  5. Efficient Frequency-Aware k-Core Query on Temporal Graphs.

    Zhongfan Du, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu

  6. Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning.

    Jinchuan Zhang, Ming Sun, Chong Mu, Jinhao Zhang, Quanjiang Guo, Ling Tian

SIGMOD-2025

  1. Catching up with Disorder: Dynamic Graphs with Out-of-Order Updates.

    Angelos-Christos G. Anadiotis, Muhammad Ghufran Khan, Ioana Manolescu

IJCAI-2024

  1. Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space

    Viet Quan Le, Viet Cuong Ta

  2. Predictive Modeling with Temporal Graphical Representation on Electronic Health Records

    Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang

  3. A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification

    Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe

  4. Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification

    Kai Chen, Ye Wang, Xin Song, Siwei Chen, Han Yu, Aiping Li

  5. Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting

    Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong

  6. Temporal Graph ODEs for Irregularly-Sampled Time Series

    Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi

  7. History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting

    Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt

  8. Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers

    Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou

ICML-2024

  1. Long Range Propagation on Continuous-Time Dynamic Graphs.

    Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt

KDD-2024

  1. DyGKT: Dynamic Graph Learning for Knowledge Tracing.

    Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du

  2. Representation Learning of Temporal Graphs with Structural Roles.

    Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou

  3. MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning.

    Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu

  4. Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.

    Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu

  5. Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals.

    Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci

  6. Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck.

    Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park

  7. Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model.

    Yuxing Tian, Aiwen Jiang, Qi Huang, Jian Guo, Yiyan Qi

  8. LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?

    Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu

  9. Efficient and Effective Implicit Dynamic Graph Neural Network.

    Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari

  10. Topology-monitorable Contrastive Learning on Dynamic Graphs.

    Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo

  11. Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.

    Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du

SIGIR-2024

  1. Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph.

    Zhiyu Fang, Shuai-Long Lei, Xiaobin Zhu, Chun Yang, Shi-Xue Zhang, Xu-Cheng Yin, Jingyan Qin

  2. LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs.

    Fengyi Wang, Guanghui Zhu, Chunfeng Yuan, Yihua Huang

  3. TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning.

    Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher

NeurIPS-2024

  1. Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning

    Jiapu Wang, Sun Kai, LINHAO LUO, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin

  2. Supra-Laplacian Encoding for Transformer on Dynamic Graphs

    Yannis Karmim, Marc Lafon, Raphael Fournier-S'niehotta, Nicolas THOME

  3. Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

    Franziska Heeg, Ingo Scholtes

  4. DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach

    Qian Chen, Ling Chen

  5. Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series

    Yicheng Luo, Zhen Liu, Linghao Wang, Binquan Wu, Junhao Zheng, Qianli Ma

  6. Improving Generalization of Dynamic Graph Learning via Environment Prompt

    Kuo Yang, Zhengyang Zhou, Qihe Huang, Limin Li, Yuxuan Liang, Yang Wang

  7. Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed

    Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik Hamann, Jingrui He

  8. State Space Models on Temporal Graphs: A First-Principles Study

    Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng

  9. TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

    Julia Gastinger, Shenyang Huang, Michael Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau

CIKM-2024

  1. DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning

    Xi Chen,Yun Xiong,Siwei Zhang,Jiawei Zhang,Yao Zhang,Shiyang Zhou,Xixi Wu,Mingyang Zhang,Tengfei Liu,Weiqiang Wang

  2. Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation

    Tianli Zhang,Tongya Zheng,Zhenbang Xiao,Zulong Chen,Liangyue Li,Zunlei Feng,Dongxiang Zhang,Mingli Song

  3. MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs

    Jiantao Li,Jianpeng Qi,Yueling Huang,Lei Cao,Yanwei Yu,Junyu Dong

  4. Multi-Modal Sarcasm Detection via Graph Convolutional Network and Dynamic Network

    Jiaqi Hao,Junfeng Zhao,Zhigang Wang

  5. Benchmarking Challenges for Temporal Knowledge Graph Alignment

    Weixin Zeng,Jie Zhou,Xiang Zhao

AAAI-2024

  1. MDGNN: Multi-relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction

    Qian, Hao*; Zhou, Hongting; Zhao, Qian; Chen, Hao; Yao, Hongxiang; Wang, Jingwei; Liu, Ziqi; Yu, Fei; Zhang, Zhiqiang; Zhou, Jun

  2. HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

    Pan, Jiaxin*; Nayyeri, Mojtaba; Li, Yinan; Staab, Steffen

  3. Temporal Graph Contrastive Learning for Sequential Recommendation

    Zhang, Shengzhe*; Chen, Liyi; Wang, Chao; Li, Shuangli; Xiong, Hui

  4. Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs

    *Lee, Dongjin; Lee, Juho; Shin, Kijung*

ICLR-2024

  1. Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks.

    Kesen Zhao, Liang Zhang

  2. Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs.

    Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

  3. Deep Temporal Graph Clustering.

    Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

  4. PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks.

    Junwei Su, Difan Zou, Chuan Wu

  5. GraphPulse: Topological representations for temporal graph property prediction.

    Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Tran Gia Bao Ngo, Baris Coskunuzer, Cuneyt Gurcan Akcora

  6. FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction.

    Yuxing Tian, Yiyan Qi, Fan Guo

WSDM-2024

  1. User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.

    Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan

  2. Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning.

    Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane

  3. Temporal Graph Analysis with TGX.

    Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei

WWW-2024

  1. Dynamic Graph Information Bottleneck

    Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li

  2. IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion

    Jiapu Wang, zheng cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao

  3. TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking

    Tianming Zhang, Junkai Fang, Zhengyi Yang, Bin Cao, JING FAN

  4. Efficient Exact and Approximate Betweenness Centrality Computation for Temporal Graphs

    Tianming Zhang, Yunjun Gao, jie zhao, Lu Chen, Lu Jin, Zhengyi Yang, Bin Cao, JING FAN

  5. On the Feasibility of Simple Transformer for Dynamic Graph Modeling

    Yuxia Wu, Yuan Fang, Lizi Liao

ICDE-2024

  1. Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service.

    Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li

  2. Local-Global History-Aware Contrastive Learning for Temporal Knowledge Graph Reasoning.

    Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin

  3. CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks.

    Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu

  4. Temporal Graph Generation Featuring Time-Bound Communities.

    Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang

  5. TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification.

    Jie Liu, Jiamou Liu, Kaiqi Zhao, Yanni Tang, Wu Chen

  6. Newton Sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton's Law of Cooling.

    Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui

  7. Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment.

    Dong Chen, Xiang Zhao, Weidong Xiao

  8. I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs.

    Jiaqi Jiang, Qi Zhang, Rong-Hua Li, Qiangqiang Dai, Guoren Wang

  9. TimeSGN: Scalable and Effective Temporal Graph Neural Network.

    Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria E. Orlowska, Xuemin Lin

  10. NewSP: A New Search Process for Continuous Subgraph Matching over Dynamic Graphs.

    Ziming Li, Youhuan Li, Xinhuan Chen, Lei Zou, Yang Li, Xiaofeng Yang, Hongbo Jiang

  11. Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs.

    Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu

  12. Benchtemp: A General Benchmark for Evaluating Temporal Graph Neural Networks.

    Qiang Huang, Xin Wang, Susie Xi Rao, Zhichao Han, Zitao Zhang, Yongjun He, Quanqing Xu, Yang Zhao, Zhigao Zheng, Jiawei Jiang

  13. KartGPS: Knowledge Base Update with Temporal Graph Pattern-based Semantic Rules.

    Hao Xin, Lei Chen

IJCAI-2023

  1. Minimizing Reachability Times on Temporal Graphs via Shifting Labels

    Argyrios Deligkas, Eduard Eiben, George Skretas

  2. Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning

    Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

  3. Totally Dynamic Hypergraph Neural Networks

    Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

  4. SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs

    Sheng Tian, Jihai Dong, Jintang Li, WENLONG ZHAO, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

ICML-2023

  1. DRew: Dynamically Rewired Message Passing with Delay

    Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni

  2. ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines

    Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry

  3. HOPE: High-order Graph ODE For Modeling Interacting Dynamics

    Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

KDD-2023

  1. Using Motif Transitions for Temporal Graph Generation

    Penghang Liu, Ahmet Erdem Sariyuce

  2. Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models

    Kartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar

  3. Community-based Dynamic Graph Learning for Popularity Prediction

    Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong

  4. Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

    Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang

  5. DyTed: Disentangled Representation Learning for Discrete-Time Dynamic Graph

    Kaike Zhang, Qi Cao, Gaolin Fang, Xu Bingbing, Hongjian Zou, Huawei Shen, Xueqi Cheng

  6. WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window

    Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang

  7. Generalizing Graph ODE for Learning Complex System Dynamics across Environments

    Zijie Huang, Yizhou Sun, Wei Wang

  8. TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation

    Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen

SIGIR-2023

  1. DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning

    Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao

  2. Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning

    Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

  3. StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios

    Jiasheng Zhang, Jie Shao, Bin Cui

  4. Continual Learning on Dynamic Graphs via Parameter Isolation

    Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim

  5. Dynamic Graph Evolution Learning for Recommendation

    Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li

  6. Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs

    Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen

NeurIPS-2023

  1. Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs

    Yeyuan Chen, Dingmin Wang

  2. Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

    Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

  3. Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT

    Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He

  4. Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

    Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen

  5. Recurrent Temporal Revision Graph Networks

    Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou

  6. Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

    Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu

  7. TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

    Xueyuan Lin, Chengjin Xu, Haihong E, Fenglong Su, Gengxian Zhou, Tianyi Hu, Ningyuan Li, Mingzhi Sun, Haoran Luo

  8. TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

    Jialin Chen, Rex Ying

  9. Temporal Graph Benchmark for Machine Learning on Temporal Graphs

    Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Reihaneh Rabbany

  10. Towards Better Dynamic Graph Learning: New Architecture and Unified Library

    Le Yu, Leilei Sun, Bowen Du, Weifeng Lv

CIKM-2023

  1. GraphERT-- Transformers-based Temporal Dynamic Graph Embedding

    Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky

  2. THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks

    Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao, Hongan Wang

  3. ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding

    Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang

  4. Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks

    Zixing Song, Yuji Zhang, Irwin King

  5. RDGSL: Dynamic Graph Representation Learning with Structure Learning

    Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu

  6. Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs

    Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai

  7. Heterogeneous Temporal Graph Neural Network Explainer

    Jiazheng Li, Chunhui Zhang, Chuxu Zhang

  8. Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph

    Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin

  9. iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation

    Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang

  10. Logistics Audience Expansion via Temporal Knowledge Graph

    Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang

AAAI-2023

  1. Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

    Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu

  2. Inferring Patient Zero on Temporal Networks via Graph Neural Networks

    Xiaolei Ru, Jack Murdoch Moore, Xin-Ya Zhang, Yeting Zeng, Gang Yan

  3. FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning

    Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou

  4. Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling

    Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu

  5. Next POI Recommendation with Dynamic Graph and Explicit Dependency

    Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han

  6. Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions

    Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh

  7. Directed Acyclic Graph Structure Learning from Dynamic Graphs

    Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi

  8. Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

    Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

  9. Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

    Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos

  10. Dynamic Heterogeneous Graph Attention Neural Architecture Search

    Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu

  11. Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection

    Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang

  12. Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

    Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng

  13. Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning

    Jong-whi Lee, Jinhong Jung

ICLR-2023

  1. Towards Open Temporal Graph Neural Networks

    Kaituo Feng, Changsheng Li, Xiaolu Zhang, JUN ZHOU

  2. Do We Really Need Complicated Model Architectures For Temporal Networks?

    Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi

  3. Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

    Guangji Bai, Chen Ling, Liang Zhao

  4. Explaining Temporal Graph Models through an Explorer-Navigator Framework

    Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li

  5. Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs

    Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron N Musco

  6. Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems

    Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M Asano, Taco Cohen, Efstratios Gavves

  7. GReTo: Remedying dynamic graph topology-task discordance via target homophily

    Zhengyang Zhou, qihe huang, Gengyu Lin, Kuo Yang, LEI BAI, Yang Wang

WSDM-2023

  1. Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs

    Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang

  2. Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs

    Linhao Luo, Gholamreza Haffari, Shirui Pan

WWW-2023

  1. TIGER: Temporal Interaction Graph Embedding with Restarts

    Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu

  2. HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction

    Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan

  3. Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs

    Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li

  4. Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning

    Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang

  5. Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

    Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou

  6. Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion

    Xin Ren, Luyi Bai, Qianwen Xiao, Xiangxi Meng

  7. Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs

    Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He

  8. An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction

    Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li

  9. Dynamically Expandable Graph Convolution for Streaming Recommendation

    Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma

  10. Unsupervised Entity Alignment for Temporal Knowledge Graphs

    Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao

  11. Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning

    Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher

ICDE-2023

  1. Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction

    Zetao Zheng (University of Electronic Science and Technology of China); Jie Shao (University of Electronic Science and Technology of China); Jia Zhu (Zhejiang Normal University); Heng Tao Shen (University of Electronic Science and Technology of China (UESTC))*

  2. RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation

    Kangzheng Liu (Huazhong University of Science and Technology); Feng Zhao (Huazhong University of Science and Technology); Guandong Xu (University of Technology Sydney, Australia); Xianzhi Wang (University of Technology Sydney); Hai Jin (Huazhong University of Science and Technology)*

  3. Instant Representation Learning for Recommendation over Large Dynamic Graphs

    Cheng Wu (Tsinghua University); Chaokun Wang (Tsinghua University); Jingcao Xu (Tsinghua University); ZiWei Fang (Tsinghua University); Tiankai Gu (Alibaba Group); Changping Wang (Kuai shou); Yang Song (Kuaishou Inc); Kai Zheng (Kuaishou); Xiaowei Wang (Beijing Kuaishou Technology Co., Ltd.); Guorui Zhou (Kuaishou Inc)*

  4. CLDG: Contrastive Learning on Dynamic Graphs

    Yiming Xu (Xi’an Jiaotong University); Bin Shi (Xi’an jiaotong University); Teng Ma (Xi’an Jiaotong University); Bo Dong (Xi’an Jiaotong University); Haoyi Zhou (Beihang University); Qinghua Zheng (School of Electronic and Information Engineering, Xi’an Jiaotong University)*

  5. SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs

    Xiao Qin (AWS AI/ML); Nasrullah Sheikh (IBM); Chuan Lei (Amazon Web Services); Berthold Reinwald (IBM Research-Almaden); Giacomo Domeniconi (U.S. Bank)*

  6. Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting

    Yusheng Zhao (Peking University); Xiao Luo (UCLA); Wei Ju (Peking University); Chong Chen (Peking University); Xian-Sheng Hua (Terminus Group); Ming Zhang (Peking University)*

SIGMOD-2023

  1. Caerus: A Caching-based Framework for Scalable Temporal Graph Neural Networks

    Yiming Li (Hong Kong University of Science and Technology); Yanyan Shen (Shanghai Jiao Tong University); Lei Chen (Hong Kong University of Science and Technology); Mingxuan Yuan (Huawei)*

  2. EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs

    Haoyang Li (The Hong Kong University of Science and Technology); Lei Chen (Hong Kong University of Science and Technology);

IJCAI-2022

  1. MERIT: Learning Multi-level Representations on Temporal Graphs

    Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

  2. TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning

    Yujia Li, Shiliang Sun, Jing Zhao

  3. Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction

    Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun

  4. DyGRAIN: An Incremental Learning Framework for Dynamic Graphs

    Seoyoon Kim, Seongjun Yun, Jaewoo Kang

  5. Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting

    Yu Tian, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, Xian Sun

  6. Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure

    Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li

ICML-2022

  1. On the Equivalence Between Temporal and Static Equivariant Graph Representations

    Jianfei Gao, Bruno Ribeiro

KDD-2022

  1. Meta-Learned Metrics over Multi-Evolution Temporal Graphs

    Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He

  2. Subset Node Anomaly Tracking over Large Dynamic Graphs

    Xingzhi Guo, Baojian Zhou, Steven Skiena

  3. Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction

    Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

  4. ROLAND: Graph Learning Framework for Dynamic Graphs

    Jiaxuan You, Tianyu Du, Jure Leskovec

  5. Instant Graph Neural Networks for Dynamic Graphs

    Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang

  6. Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning

    Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong

SIGIR-2022

  1. Dynamic Graph Segmentation for Deep Graph Neural Networks

    Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He

  2. DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction

    Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang

NeurIPS-2022

  1. Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding.

    Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao

  2. Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.

    Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher

  3. Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs.

    Ming Jin, Yuan-Fang Li, Shirui Pan

  4. Provably expressive temporal graph networks.

    Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg

  5. Parameter-free Dynamic Graph Embedding for Link Prediction.

    Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

  6. DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media

    Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

  7. Towards Better Evaluation for Dynamic Link Prediction

    Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany

  8. Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift.

    Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu

CIKM-2022

  1. Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.

    Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu

  2. Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization.

    Zhuoming Li, Darong Lai

  3. Dynamic Hypergraph Learning for Collaborative Filtering.

    Chunyu Wei, Jian Liang, Bing Bai, Di Liu

  4. LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs.

    Tiancheng Huang, Feng Zhao, Donglin Wang

  5. Embedding Global and Local Influences for Dynamic Graphs.

    Meng Liu, Jiaming Wu, Yong Liu

  6. Multi-Aspect Embedding of Dynamic Graphs.

    Aimin Sun, Zhiguo Gong

  7. DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.

    Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin

  8. A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.

    Li Sun, Junda Ye, Hao Peng, Philip S. Yu

  9. Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network.

    Shiyin Tan, Jingyi You, Dongyuan Li

  10. Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.

    Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He

  11. Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.

    Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang

AAAI-2022

  1. TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

    Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

  2. TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs

    Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

  3. Temporal Knowledge Graph Completion Using Box Embeddings

    Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan

  4. Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks

    Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton

  5. Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision

    Jun Zhuang, Mohammad Al Hasan

WSDM-2022

  1. EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

    Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong

WWW-2022

  1. TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection

    Sijia Li, Gaopeng Gou, Chang Liu, Chengshang Hou, Zhenzhen Li, Gang Xiong

  2. TREND: TempoRal Event and Node Dynamics for Graph Representation Learning

    Zhihao Wen, Yuan Fang

  3. Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction

    Le Yu, Guanghui Wu, Leilei Sun, Bowen Du, Weifeng Lv

ICDE-2022

  1. On Compressing Temporal Graphs

    Panagiotis Liakos, Katia Papakonstantinopoulou, Theodore Stefou, Alex Delis

  2. Dynamic Hypergraph Convolutional Network

    Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua

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Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.

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