SMGRL: Scalable Multi-resolution Graph Representation Learning

29 January 2022

Papers citing "SMGRL: Scalable Multi-resolution Graph Representation Learning"

8 / 8 papers shown

Title
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 79 259 0 11 Apr 2022
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 50 31 0 13 Apr 2021
Graph Coarsening with Neural Networks Chen Cai Dingkang Wang Yusu Wang DD 105 67 0 02 Feb 2021
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 64 49 0 08 Sep 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 56 266 0 23 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 224 2,701 0 02 May 2020
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 195 1,674 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 175 7,554 0 01 Oct 2018