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DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional
  Networks

DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks

10 February 2023
L. Zhang
Xiaodong Yan
Jianshan He
Ruopeng Li
Wei Chu
    GNN
ArXivPDFHTML

Papers citing "DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks"

4 / 4 papers shown
Title
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
32
0
0
25 Oct 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
70
1
0
19 Mar 2024
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
152
130
0
29 Oct 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
1