Improving Expressivity of Graph Neural Networks

8 April 2020

Papers citing "Improving Expressivity of Graph Neural Networks"

9 / 9 papers shown

Title
Coloring graph neural networks for node disambiguation George Dasoulas Ludovic Dos Santos Kevin Scaman Aladin Virmaux 65 82 0 12 Dec 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 125 958 0 06 Nov 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 75 278 0 29 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 61 88 0 11 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 125 1,300 0 10 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 91 259 0 06 Mar 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 202 7,554 0 01 Oct 2018
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 338 7,361 0 12 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 314 10,412 0 21 Jul 2016