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Structure-Aware DropEdge Towards Deep Graph Convolutional Networks

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks

21 June 2023
Jiaqi Han
Wen-bing Huang
Yu Rong
Tingyang Xu
Fuchun Sun
Junzhou Huang
ArXivPDFHTML

Papers citing "Structure-Aware DropEdge Towards Deep Graph Convolutional Networks"

5 / 5 papers shown
Title
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu
Zhihao Wu
Zhiling Cai
Yueyang Pi
Shiping Wang
GNN
49
0
0
18 Apr 2025
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical
  Systems
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
Fu Lin
Jiasheng Shi
Shijie Luo
Qinpei Zhao
Weixiong Rao
Lei Chen
AI4CE
27
0
0
07 Sep 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
Zhaoliang Chen
Zhihao Wu
Ylli Sadikaj
Claudia Plant
Hong-Ning Dai
Shiping Wang
Wenzhong Guo
AAML
33
0
0
14 Mar 2024
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
229
1,941
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
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