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Workshop
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Bridging the Gap: Towards Flexible, Efficient, and Effective Tensor Product Networks
Nanxiang Wang · Chen Lin · Michael Bronstein · Philip Torr
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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
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Poster
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Thu 8:45
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Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
Jiaxin Bai · Xin Liu · Weiqi Wang · Chen Luo · Yangqiu Song
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Workshop
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GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian · Thiviyan Thanapalasingam · Emile van Krieken · Daniel Daza · Peter Bloem
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Workshop
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CongFu: Conditional Graph Fusion for Drug Synergy Prediction
Oleksii Tsepa · Bohdan Naida · Anna Goldenberg · Bo Wang
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Workshop
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Elucidating the Relationship Between Climate Change and Poverty using Graph Neural Networks, Ensemble Models, and Remote Sensing Data
Parinthapat Pengpun · Alessandro Salatiello
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Workshop
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Curvature and Causal Inference in Network Data
Amirhossein Farzam · Allen Tannenbaum · Guillermo Sapiro
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Workshop
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PINNs-Torch: Enhancing Speed and Usability of Physics-Informed Neural Networks with PyTorch
Reza Akbarian Bafghi · Maziar Raissi
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Workshop
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Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang · Yanyi Pu
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Poster
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Thu 15:00
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The expressive power of pooling in Graph Neural Networks
Filippo Maria Bianchi · Veronica Lachi
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Workshop
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SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Dingyi Zhuang · Yuheng Bu · Guang Wang · Shenhao Wang · Jinhua Zhao
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