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Training Robust Graph Neural Networks with Topology Adaptive Edge
  Dropping

Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping

5 June 2021
Zhangyang Gao
S. Bhattacharya
Leiming Zhang
Rick S. Blum
Alejandro Ribeiro
Brian M. Sadler
ArXiv (abs)PDFHTML

Papers citing "Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping"

28 / 28 papers shown
Title
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
260
20
0
28 Jan 2025
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Tengjiao Wang
AAML
110
3
0
19 Jun 2024
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
78
262
0
13 Nov 2020
Resource Allocation via Graph Neural Networks in Free Space Optical
  Fronthaul Networks
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks
Zhan Gao
Mark Eisen
Alejandro Ribeiro
38
16
0
26 Jun 2020
Wide and Deep Graph Neural Networks with Distributed Online Learning
Wide and Deep Graph Neural Networks with Distributed Online Learning
Zhan Gao
Fernando Gama
Alejandro Ribeiro
GNN
70
10
0
11 Jun 2020
Stability of Graph Neural Networks to Relative Perturbations
Stability of Graph Neural Networks to Relative Perturbations
Fernando Gama
Joan Bruna
Alejandro Ribeiro
54
13
0
21 Oct 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
110
1,339
0
25 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
966
0
10 Jul 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node
  Classification
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Kenta Oono
Taiji Suzuki
GNN
65
29
0
27 May 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural Networks
Fernando Gama
Joan Bruna
Alejandro Ribeiro
68
232
0
11 May 2019
Dual Graph Attention Networks for Deep Latent Representation of
  Multifaceted Social Effects in Recommender Systems
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Qitian Wu
Hengrui Zhang
Xiaofeng Gao
Peng He
Paul Weng
Han Gao
Guihai Chen
OffRLCML
83
321
0
25 Mar 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
244
3,174
0
19 Feb 2019
Session-based Recommendation with Graph Neural Networks
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
72
1,560
0
01 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,653
0
01 Oct 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
77
491
0
14 Sep 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
263
3,540
0
06 Jun 2018
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
182
287
0
01 May 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
144
1,513
0
30 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
189
2,826
0
22 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,455
0
04 Apr 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
543
1,410
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
353
7,655
0
30 Jun 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,373
0
02 Dec 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
223
4,882
0
21 Dec 2013
Clustering with Multi-Layer Graphs: A Spectral Perspective
Clustering with Multi-Layer Graphs: A Spectral Perspective
Xiaowen Dong
P. Frossard
P. Vandergheynst
N. Nefedov
99
152
0
11 Jun 2011
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