EIGNN: Efficient Infinite-Depth Graph Neural Networks

EIGNN: Efficient Infinite-Depth Graph Neural Networks

22 February 2022

Kenji Kawaguchi

Bryan Hooi

Papers citing "EIGNN: Efficient Infinite-Depth Graph Neural Networks"

6 / 6 papers shown

Title
Graph Neural Networks Gone Hogwild Olga Solodova Nick Richardson Deniz Oktay Ryan P. Adams AI4CE GNN 19 1 0 29 Jun 2024
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 14 1 0 25 May 2023
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 222 0 24 Oct 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 139 828 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 217 1,726 0 09 Jun 2018