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Poster
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Thu 14:00
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Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar · Francesco Di Giovanni · Benjamin Chamberlain · Pietro Lió · Michael Bronstein
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Workshop
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Physics-aware Graph Neural Network for Accurate RNA 3D Structure Prediction
Shuo Zhang · Lei Xie · Yang Liu
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Poster
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Tue 9:00
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AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs
Daniele Zambon · Cesare Alippi
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Workshop
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Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks
Zhe Li · Andreas Tolias · Xaq Pitkow
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Workshop
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Agent-based Graph Neural Networks
Karolis Martinkus · Pál András Papp · Benedikt Schesch · Roger Wattenhofer
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Workshop
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Invertible Neural Networks for Graph Prediction
Chen Xu · Xiuyuan Cheng · Yao Xie
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Expo Workshop
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Mon 7:30
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Graph Neural Networks in Tensorflow: A Practical Guide
Bryan Perozzi · Sami A Abu-El-Haija · Neslihan Bulut · Brandon Mayer
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Poster
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Efficient Graph Similarity Computation with Alignment Regularization
Wei Zhuo · Guang Tan
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Workshop
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Learning Feynman Diagrams using Graph Neural Networks
Alexander Norcliffe · Harrison Mitchell · Pietro Lió
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Workshop
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Training graph neural networks with policy gradients to perform tree search
Matthew Macfarlane · Diederik Roijers · Herke van Hoof
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Poster
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Tue 14:00
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Uncovering the Structural Fairness in Graph Contrastive Learning
Ruijia Wang · Xiao Wang · Chuan Shi · Le Song
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Poster
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Thu 9:00
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Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
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