Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network

17 February 2020

Papers citing "Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network"

8 / 8 papers shown

Title
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 41 505 0 26 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 66 1,323 0 25 Jul 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 95 1,266 0 20 May 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 179 1,674 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 127 7,554 0 01 Oct 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 93 750 0 10 Jan 2018
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 108 658 0 22 May 2017
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 107 4,856 0 21 Dec 2013