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Simple and Deep Graph Convolutional Networks

Simple and Deep Graph Convolutional Networks

4 July 2020
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
    GNN
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Papers citing "Simple and Deep Graph Convolutional Networks"

28 / 678 papers shown
Title
Learning to Infer Unseen Attribute-Object Compositions
Learning to Infer Unseen Attribute-Object Compositions
Hui Chen
Zhixiong Nan
Jingjing Jiang
N. Zheng
OCL
CoGe
14
8
0
27 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
34
283
0
27 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference
  Method
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng
Weiran Huang
Xiangnan He
Xin Xin
Qifan Wang
Tat-Seng Chua
GNN
CML
23
63
0
22 Oct 2020
Graph Fairing Convolutional Networks for Anomaly Detection
Graph Fairing Convolutional Networks for Anomaly Detection
Mahsa Mesgaran
A. Ben Hamza
12
23
0
20 Oct 2020
Towards Expressive Graph Representation
Towards Expressive Graph Representation
Chengsheng Mao
Liang Yao
Yuan Luo
26
2
0
12 Oct 2020
A Light Heterogeneous Graph Collaborative Filtering Model using Textual
  Information
A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information
Chaoyang Wang
Zhiqiang Guo
Guohui Li
Jianjun Li
Peng Pan
Ke Liu
18
9
0
04 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks
Multi-grained Semantics-aware Graph Neural Networks
Zhiqiang Zhong
Chengzong Li
Jun Pang
AI4CE
16
8
0
01 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
36
225
0
30 Sep 2020
Graph Neural Networks with Heterophily
Graph Neural Networks with Heterophily
Jiong Zhu
Ryan A. Rossi
Anup B. Rao
Tung Mai
Nedim Lipka
Nesreen Ahmed
Danai Koutra
28
302
0
28 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node
  Classification from an Optimization Perspective
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
Hongwei Zhang
Tijin Yan
Zenjun Xie
Yuanqing Xia
Yuan Zhang
GNN
21
24
0
24 Sep 2020
Implicit Graph Neural Networks
Implicit Graph Neural Networks
Fangda Gu
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
L. Ghaoui
GNN
29
147
0
14 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
CatGCN: Graph Convolutional Networks with Categorical Node Features
Weijia Chen
Fuli Feng
Qifan Wang
Xiangnan He
Chonggang Song
Guohui Ling
Yongdong Zhang
GNN
27
22
0
11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
30
47
0
08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
28
750
0
08 Sep 2020
Simplification of Graph Convolutional Networks: A Matrix
  Factorization-based Perspective
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
Qiang Liu
Haoli Zhang
Zhaocheng Liu
GNN
16
3
0
17 Jul 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification
Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim
Daeho Um
H. Chang
D. Jo
J. Choi
28
14
0
18 Jun 2020
Optimization and Generalization Analysis of Transduction through
  Gradient Boosting and Application to Multi-scale Graph Neural Networks
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
37
31
0
15 Jun 2020
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
42
89
0
12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group
  Normalization
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou
Xiao Huang
Yuening Li
Daochen Zha
Rui Chen
Xia Hu
33
199
0
12 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 Wang
Wenwu Zhu
GNN
42
29
0
08 Jun 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
8
23
0
13 May 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
169
1,085
0
13 Feb 2020
Effective Stabilized Self-Training on Few-Labeled Graph Data
Effective Stabilized Self-Training on Few-Labeled Graph Data
Ziang Zhou
Jieming Shi
Shengzhong Zhang
Zengfeng Huang
Qing Li
34
12
0
07 Oct 2019
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
838
0
28 Sep 2019
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and
  Semi-Supervised Learning on Graphs
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs
Qimai Li
Xiaotong Zhang
Han Liu
Quanyu Dai
Xiao-Ming Wu
GNN
SSL
18
14
0
26 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
61
178
0
07 Sep 2019
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
279
1,944
0
09 Jun 2018
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
59
284
0
27 Jul 2016
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