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48 Results
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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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Thu 17:00 |
Generative Scene Graph Networks Fei Deng · Zhuo Zhi · Donghun Lee · Sungjin Ahn |
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Poster
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Thu 9:00 |
Graph Coarsening with Neural Networks Chen Cai · Dingkang Wang · Yusu Wang |
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Poster
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Wed 9:00 |
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon · Eran Yahav |
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Poster
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Mon 17:00 |
Spatio-Temporal Graph Scattering Transform Chao Pan · Siheng Chen · Antonio Ortega |
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Poster
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Wed 17:00 |
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao · Raquel Urtasun · Richard Zemel |
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Poster
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Tue 17:00 |
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen · Zhengdao Chen · Joan Bruna |
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Poster
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Wed 1:00 |
Simple Spectral Graph Convolution Hao Zhu · Piotr Koniusz |
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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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Poster
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Tue 9:00 |
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror |
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Poster
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Tue 1:00 |
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun · Zhanxing Zhu · Zhouchen Lin |
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Poster
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Wed 1:00 |
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam Tailor · Javier Fernandez-Marques · Nicholas Lane |