ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting

27 May 2022

Papers citing "ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting"

7 / 7 papers shown

Title
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 113 0 0 25 Apr 2025
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov Denis Kuznedelev Artem Babenko Liudmila Prokhorenkova 51 37 0 13 Sep 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 87 556 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,077 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 835 0 28 Sep 2019
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 103 152 0 23 Jul 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,941 0 09 Jun 2018