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624 Results
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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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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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Expo Workshop
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Mon 7:30 |
Graph Neural Networks in Tensorflow: A Practical Guide Bryan Perozzi · Sami A Abu-El-Haija · Neslihan Bulut · Brandon Mayer |
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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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Thu 9:00 |
Not too little, not too much: a theoretical analysis of graph (over)smoothing Nicolas Keriven |
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Poster
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Tue 14:00 |
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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Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan · Xiao Wang · Yanhu Mo · Chuan Shi · Jian Tang |
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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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Workshop
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GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara · Rex Ying · Zitao Zhang · Zhihao Han · Yinan Shan · Ulrik Brandes · Sebastian Schemm |
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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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Workshop
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When Are Graph Neural Networks Better Than Structure-Agnostic Methods? Diana Gomes · Fred RL · Kyriakos Efthymiadis · Ann Nowe · Peter Vrancx |