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@@ -775,7 +775,7 @@ <h1 class="mb-0">Call for Sponsors</h1>
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<h2 id="call-for-sponsors">Call for Sponsors</h2>
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<p>LoG is a new annual research conference that covers areas broadly related to <strong>machine learning on graphs</strong> and <strong>geometry</strong>, with a special focus on <strong>review quality</strong>.</p>
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<p>The machine learning on graphs community has grown significantly in the last few years, as have its applications. A stand alone conference aims to enable precise targeting of <strong>expert reviewers</strong>, as well as <strong>bring the community together</strong>. The <a href="/#advisors">conference organization</a> is advised by well-known names in graph learning, lending broad support and exposure to the conference.</p>
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<p>The machine learning on graphs community has grown significantly in the last few years, as have its applications. A stand alone conference aims to enable precise targeting of <strong>expert reviewers</strong>, as well as <strong>bring the community together</strong>. The <a href="/advisors/">conference organization</a> is advised by well-known names in graph learning, lending broad support and exposure to the conference.</p>
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<p>To cover the costs of organizing an in-person conference, we are looking for corporate sponsors. These include costs for venue, logistics, <strong>monetary reviewer rewards</strong> (unique to LoG, to incentivize high-quality reviews), and design/content production.</p>
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<p><strong>Contact us</strong> at <a href="mailto:logconference@googlegroups.com">logconference@googlegroups.com</a> if your organization is interested in sponsoring LoG!</p>
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