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72 Results
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Workshop
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Fri 14:40 |
Directional Graph Networks Dominique Beaini · Saro Passaro · Vincent Létourneau · William Hamilton · Gabriele Corso · Pietro Liò |
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Workshop
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Fri 14:50 |
Don't Stack Layers in Graph Neural Networks, Wire Them Randomly Diego Valsesia · Giulia Fracastoro · Enrico Magli |
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Poster
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Tue 9:00 |
Learning Parametrised Graph Shift Operators George Dasoulas · Johannes Lutzeyer · Michalis Vazirgiannis |
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Workshop
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Fri 11:40 |
Spotlight 8: Yunhao Ge, Graph Autoencoder for Graph Compression and Representation Learning |
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Poster
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Wed 17:00 |
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman · Aaron Chan · Siddhant Agarwal · PeiFeng Wang · Hansen Wang · Sungchul Kim · Ryan Rossi · Handong Zhao · Nedim Lipka · Xiang Ren |
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Workshop
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Membership Inference Attack on Graph Neural Networks Iyiola Emmanuel Olatunji · Wolfgang Nejdl · Megha Khosla |
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Spotlight
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Wed 16:45 |
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia |
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Spotlight
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Thu 3:15 |
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim |
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Spotlight
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Tue 12:50 |
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror |
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Spotlight
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Tue 3:45 |
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling |
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Oral
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Mon 21:21 |
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka |
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Poster
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Wed 17:00 |
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs Zhen Han · Peng Chen · Yunpu Ma · Volker Tresp |