firstbacksecondback
182 Results
|
Workshop
|
Fri 14:50 |
Don't Stack Layers in Graph Neural Networks, Wire Them Randomly Diego Valsesia · Giulia Fracastoro · Enrico Magli |
|
|
Poster
|
Thu 9:00 |
Graph Coarsening with Neural Networks Chen Cai · Dingkang Wang · Yusu Wang |
|
|
Poster
|
Wed 9:00 |
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon · Eran Yahav |
|
|
Poster
|
Mon 17:00 |
Spatio-Temporal Graph Scattering Transform Chao Pan · Siheng Chen · Antonio Ortega |
|
|
Poster
|
Tue 17:00 |
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen · Zhengdao Chen · Joan Bruna |
|
|
Poster
|
Wed 17:00 |
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao · Raquel Urtasun · Richard Zemel |
|
|
Poster
|
Tue 9:00 |
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror |
|
|
Spotlight
|
Tue 12:50 |
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror |
|
|
Poster
|
Wed 1:00 |
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam Tailor · Javier Fernandez-Marques · Nicholas Lane |
|
|
Poster
|
Tue 1:00 |
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun · Zhanxing Zhu · Zhouchen Lin |
|
|
Poster
|
Wed 1:00 |
Expressive Power of Invariant and Equivariant Graph Neural Networks Waïss Azizian · marc lelarge |
|
|
Spotlight
|
Tue 3:35 |
Expressive Power of Invariant and Equivariant Graph Neural Networks Waïss Azizian · marc lelarge |