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Simplifying Graph Convolutional Networks
v1v2 (latest)

Simplifying Graph Convolutional Networks

19 February 2019
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
    GNN
ArXiv (abs)PDFHTML

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown
Title
Interferometric Graph Transform: a Deep Unsupervised Graph
  Representation
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
Edouard Oyallon
110
6
0
10 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising
  Perspectives
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives
Guoji Fu
Buse Giledereli
Jian Zhang
Kaili Ma
Barakeel Fanseu Kamhoua
James Cheng
56
18
0
08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Ziwei Zhang
Peng Cui
J. Pei
Xin Eric Wang
Wenwu Zhu
GNN
84
33
0
08 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation
Single-Layer Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Junxiong Zhu
Yanghua Li
Peng He
Wen-yuan Gao
Wenjun Xu
GNN
28
1
0
07 Jun 2020
Deep Graph Contrastive Representation Learning
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
86
823
0
07 Jun 2020
RelEx: A Model-Agnostic Relational Model Explainer
RelEx: A Model-Agnostic Relational Model Explainer
Yue Zhang
David DeFazio
Arti Ramesh
57
109
0
30 May 2020
Understanding the Message Passing in Graph Neural Networks via Power
  Iteration Clustering
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering
Xue Li
Yuanzhi Cheng
GNN
66
9
0
30 May 2020
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a
  Nonlinearity
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity
Sudhanshu Chanpuriya
Cameron Musco
92
28
0
29 May 2020
Deep graph learning for semi-supervised classification
Deep graph learning for semi-supervised classification
Guangfeng Lin
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
Yajun Chen
GNN
42
35
0
29 May 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Haoteng Tang
Guixiang Ma
Yurong Chen
Lei Guo
Wei Wang
Bo Zeng
Liang Zhan
AAML
93
28
0
23 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
130
397
0
22 May 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
OODAAML
88
711
0
20 May 2020
Graphs, Entities, and Step Mixture
Graphs, Entities, and Step Mixture
Kyuyong Shin
Wonyoung Shin
Jung-Woo Ha
Sunyoung Kwon
30
1
0
18 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional
  Networks
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie
Naoki Morita
Toshiaki Hishinuma
Yushi Ihara
Naoto Mitsume
GNN
81
23
0
13 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
311
2,759
0
02 May 2020
A Robust Hierarchical Graph Convolutional Network Model for
  Collaborative Filtering
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
Shaowen Peng
Tsunenori Mine
51
8
0
30 Apr 2020
Directed Graph Convolutional Network
Directed Graph Convolutional Network
Zekun Tong
Yuxuan Liang
Changsheng Sun
David S. Rosenblum
A. Lim
BDLGNN
124
118
0
29 Apr 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
144
402
0
23 Apr 2020
SPECTER: Document-level Representation Learning using Citation-informed
  Transformers
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Arman Cohan
Sergey Feldman
Iz Beltagy
Doug Downey
Daniel S. Weld
AI4TS
126
561
0
15 Apr 2020
Graph Highway Networks
Graph Highway Networks
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
GNN
59
5
0
09 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised
  Classification
A Graph Convolutional Network Composition Framework for Semi-supervised Classification
Rahul Ragesh
Sundararajan Sellamanickam
Vijay Lingam
Arun Shankar Iyer
GNN
32
2
0
08 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the
  Message-Passing Framework
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
105
38
0
06 Apr 2020
Deep Learning Based Text Classification: A Comprehensive Review
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee
Nal Kalchbrenner
Min Zhang
Narjes Nikzad
M. Asgari-Chenaghlu
Jianfeng Gao
AILawVLMAI4TS
116
1,115
0
06 Apr 2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action
  Recognition
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu
Hongwen Zhang
Zhenghao Chen
Zhiyong Wang
Wanli Ouyang
139
837
0
31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning
Gossip and Attend: Context-Sensitive Graph Representation Learning
Zekarias T. Kefato
Sarunas Girdzijauskas
36
7
0
30 Mar 2020
Revisiting Over-smoothing in Deep GCNs
Revisiting Over-smoothing in Deep GCNs
Chaoqi Yang
Ruijie Wang
Shuochao Yao
Shengzhong Liu
Tarek Abdelzaher
93
97
0
30 Mar 2020
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
223
82
0
30 Mar 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei
Chuang Niu
Yiping Tang
Yue Wang
Haihong Hu
Jimin Liang
65
7
0
28 Mar 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node
  Classification
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification
Negar Heidari
Alexandros Iosifidis
GNN
66
14
0
27 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with
  Experience Replay
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou
Chengtai Cao
CLL
69
10
0
22 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Jingxin Liu
Chang Xu
Chang Yin
Weiqiang Wu
You Song
GNN
112
50
0
22 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive
  Connection
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li
Yuxian Meng
Mingxin Zhou
Qinghong Han
Leilei Gan
Jiwei Li
79
20
0
22 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation
Spectral Graph Attention Network with Fast Eigen-approximation
Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Somayeh Sojoudi
Junzhou Huang
Wenwu Zhu
GNN
82
34
0
16 Mar 2020
Learning by Sampling and Compressing: Efficient Graph Representation
  Learning with Extremely Limited Annotations
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations
Xiaoming Liu
Qirui Li
Chao Shen
Xi Peng
Yadong Zhou
X. Guan
GNNSSL
46
0
0
13 Mar 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph
  Neural Networks
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama
Elvin Isufi
G. Leus
Alejandro Ribeiro
GNN
142
156
0
08 Mar 2020
Unifying Graph Embedding Features with Graph Convolutional Networks for
  Skeleton-based Action Recognition
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition
Ke Wang
M. M. Li
Hong Fu
Jicong Fan
Zhao Zhang
Howard Leung
72
7
0
06 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature
  Interactions
Cross-GCN: Enhancing Graph Convolutional Network with kkk-Order Feature Interactions
Fuli Feng
Xiangnan He
Hanwang Zhang
Tat-Seng Chua
106
11
0
05 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing
PushNet: Efficient and Adaptive Neural Message Passing
Julian Busch
Jiaxing Pi
T. Seidl
GNN
93
12
0
04 Mar 2020
Semi-supervised Anomaly Detection on Attributed Graphs
Semi-supervised Anomaly Detection on Attributed Graphs
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
55
39
0
27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
87
46
0
27 Feb 2020
Adaptive Graph Auto-Encoder for General Data Clustering
Adaptive Graph Auto-Encoder for General Data Clustering
Xuelong Li
Hongyuan Zhang
Rui Zhang
GNNAI4CE
72
84
0
20 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Han Yang
Xiao Yan
XINYAN DAI
Yongqiang Chen
James Cheng
124
36
0
18 Feb 2020
The Power of Graph Convolutional Networks to Distinguish Random Graph
  Models: Short Version
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
Abram Magner
Mayank Baranwal
Alfred Hero
GNN
49
14
0
13 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
346
1,131
0
13 Feb 2020
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
66
88
0
11 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka
Pietro Lio
GNN
81
15
0
11 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu
Fuli Feng
Xiangnan He
Xiang Wang
Yan Li
Kai Zheng
Yongdong Zhang
27
3
0
10 Feb 2020
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
Ziqing Yang
Shoudong Han
Jun Zhao
GNN
20
3
0
07 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
208
3,722
0
06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Guillaume Salha-Galvan
Romain Hennequin
Jean-Baptiste Remy
Manuel Moussallam
Michalis Vazirgiannis
GNNBDL
81
6
0
05 Feb 2020
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