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26 Results
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Workshop
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Pre-training via Denoising for Molecular Property Prediction Sheheryar Zaidi · Michael Schaarschmidt · James Martens · Hyunjik Kim · Yee Whye Teh · Alvaro Sanchez Gonzalez · Peter Battaglia · Razvan Pascanu · Jonathan Godwin |
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Poster
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Tue 9:00 |
Brain Network Transformer Xuan Kan · Wei Dai · Hejie Cui · Zilong Zhang · Ying Guo · Carl Yang |
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Poster
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Thu 9:00 |
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng · Bingxin Zhou · Yuguang Wang · Xiaosheng Zhuang |
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Poster
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Tue 9:00 |
Iterative Scene Graph Generation Siddhesh Khandelwal · Leonid Sigal |
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Workshop
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GraphCG: Unsupervised Discovery of Steerable Factors in Graphs Shengchao Liu · Chengpeng Wang · Weili Nie · Hanchen Wang · Jiarui Lu · Bolei Zhou · Jian Tang |
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Poster
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Wed 14:00 |
Single-Stage Visual Relationship Learning using Conditional Queries Alakh Desai · Tz-Ying Wu · Subarna Tripathi · Nuno Vasconcelos |
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Poster
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Thu 14:00 |
Graph Neural Networks are Dynamic Programmers Andrew J Dudzik · Petar Veličković |
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Poster
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Hierarchical Graph Transformer with Adaptive Node Sampling ZAIXI ZHANG · Qi Liu · Qingyong Hu · Chee-Kong Lee |
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Poster
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Thu 9:00 |
Periodic Graph Transformers for Crystal Material Property Prediction Keqiang Yan · Yi Liu · Yuchao Lin · Shuiwang Ji |
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Affinity Workshop
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Graph Transformer Networks for Nuclear Proliferation Detection in Urban Environments Anastasiya Usenko · Yasanka Horawalavithana · Ellyn Ayton · Joon-Seok Kim · Svitlana Volkova |
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Poster
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Thu 14:00 |
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu · Wentao Zhao · Zenan Li · David P Wipf · Junchi Yan |
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Poster
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Wed 9:00 |
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek · Michael Galkin · Vijay Prakash Dwivedi · Anh Tuan Luu · Guy Wolf · Dominique Beaini |