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Elastic Graph Neural Networks

Elastic Graph Neural Networks

5 July 2021
Xiaorui Liu
W. Jin
Yao Ma
Yaxin Li
Hua Liu
Yiqi Wang
Ming Yan
Jiliang Tang
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Papers citing "Elastic Graph Neural Networks"

24 / 24 papers shown
Title
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
128
6
0
31 Dec 2024
Implicit vs Unfolded Graph Neural Networks
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
202
15
0
12 Nov 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
103
203
0
28 Jan 2021
A Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
AI4CE
110
177
0
05 Oct 2020
Graph Structure Learning for Robust Graph Neural Networks
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
OOD
AAML
84
703
0
20 May 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li
Wei Jin
Han Xu
Jiliang Tang
AAML
81
132
0
13 May 2020
PairNorm: Tackling Oversmoothing in GNNs
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao
Leman Akoglu
68
509
0
26 Sep 2019
Vector-Valued Graph Trend Filtering with Non-Convex Penalties
Vector-Valued Graph Trend Filtering with Non-Convex Penalties
R. Varma
Harlin Lee
J. Kovacevic
Yuejie Chi
57
33
0
29 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT
Takanori Maehara
GNN
122
434
0
23 May 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OOD
AAML
GNN
126
572
0
22 Feb 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
239
3,174
0
19 Feb 2019
Semi-supervised Learning in Network-Structured Data via Total Variation
  Minimization
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization
A. Jung
A. Hero III
Alexandru Mara
Saeed Jahromi
Ayelet Heimowitz
Yonina C. Eldar
55
31
0
28 Jan 2019
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
168
1,360
0
14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
222
1,688
0
14 Oct 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
159
1,069
0
21 May 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
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
635
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
350
7,655
0
30 Jun 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Trend Filtering on Graphs
Trend Filtering on Graphs
Yu Wang
James Sharpnack
Alex Smola
Robert Tibshirani
64
243
0
28 Oct 2014
Multiclass Total Variation Clustering
Multiclass Total Variation Clustering
Xavier Bresson
T. Laurent
D. Uminsky
J. V. Brecht
83
93
0
05 Jun 2013
Adaptive piecewise polynomial estimation via trend filtering
Adaptive piecewise polynomial estimation via trend filtering
Robert Tibshirani
77
396
0
10 Apr 2013
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