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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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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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Workshop
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Curvature and Causal Inference in Network Data
Amirhossein Farzam · Allen Tannenbaum · Guillermo Sapiro
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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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Enhancing the local expressivity of geometric graph neural networks
Sam Walton Norwood · Lars L Schaaf · Ilyes Batatia · Arghya Bhowmik · Gabor Csanyi
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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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Workshop
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One Node Per User: Node-Level Federated Learning for Graph Neural Networks
zhidong gao · Yuanxiong Guo · Yanmin Gong
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Poster
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Thu 15:00
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PlanE: Representation Learning over Planar Graphs
Radoslav Dimitrov · Zeyang Zhao · Ralph Abboud · Ismail Ceylan
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Workshop
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Sat 12:01
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GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations
Kenza Amara · Mennatallah El-Assady · Rex Ying
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