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Large-Scale Learnable Graph Convolutional Networks

Large-Scale Learnable Graph Convolutional Networks

12 August 2018
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
    GNN
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Papers citing "Large-Scale Learnable Graph Convolutional Networks"

50 / 195 papers shown
Title
Spherical Message Passing for 3D Graph Networks
Spherical Message Passing for 3D Graph Networks
Yi Liu
Limei Wang
Meng Liu
Xuan Zhang
Bora Oztekin
Shuiwang Ji
GNN
22
197
0
09 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
185
188
0
01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models
GraphEBM: Molecular Graph Generation with Energy-Based Models
Meng Liu
Keqiang Yan
Bora Oztekin
Shuiwang Ji
24
85
0
31 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Hao Yuan
Shuiwang Ji
GNN
90
7
0
06 Jan 2021
Action Recognition with Kernel-based Graph Convolutional Networks
Action Recognition with Kernel-based Graph Convolutional Networks
H. Sahbi
GNN
29
1
0
28 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs.
  Graph Neural Networks
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
Binghui Wang
Jinyuan Jia
Neil Zhenqiang Gong
GNN
25
18
0
24 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
117
0
16 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised
  Classification
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
28
20
0
07 Dec 2020
AutoGraph: Automated Graph Neural Network
AutoGraph: Automated Graph Neural Network
Yaoman Li
Irwin King
GNN
27
43
0
23 Nov 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of
  Graph Neural Networks
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
Zhihua Jin
Yong Wang
Qianwen Wang
Yao Ming
Tengfei Ma
Huamin Qu
HAI
18
31
0
22 Nov 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and
  Realization
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
55
53
0
24 Oct 2020
Anisotropic Graph Convolutional Network for Semi-supervised Learning
Anisotropic Graph Convolutional Network for Semi-supervised Learning
Mahsa Mesgaran
Abdessamad BenHamza
31
9
0
20 Oct 2020
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
146
195
0
20 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Tong Zhao
Bo Ni
Wenhao Yu
Zhichun Guo
Neil Shah
Meng Jiang
47
19
0
20 Oct 2020
Topology-Aware Graph Pooling Networks
Topology-Aware Graph Pooling Networks
Hongyang Gao
Yi Liu
Shuiwang Ji
8
89
0
19 Oct 2020
Pose Refinement Graph Convolutional Network for Skeleton-based Action
  Recognition
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
Shijie Li
Jinhui Yi
Yazan Abu Farha
Juergen Gall
11
35
0
14 Oct 2020
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
36
176
0
05 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
Multi-hop Attention Graph Neural Network
Multi-hop Attention Graph Neural Network
Guangtao Wang
Rex Ying
Jing Huang
J. Leskovec
17
131
0
29 Sep 2020
Inductive Graph Embeddings through Locality Encodings
Inductive Graph Embeddings through Locality Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
GNN
15
1
0
26 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
Evolutionary Architecture Search for Graph Neural Networks
Evolutionary Architecture Search for Graph Neural Networks
Min Shi
David A. Wilson
Xingquan Zhu
Yu Huang
Zhuang Yuan
Jianxun Liu
Yufei Tang
AI4CE
37
22
0
21 Sep 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning
  for Hyperspectral Image Classification
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Sheng Wan
Chen Gong
Shirui Pan
Jie-jin Yang
Jian Yang
35
3
0
19 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
Santosh Pandey
Lingda Li
A. Hoisie
Xin Li
Hang Liu
28
60
0
18 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs
Accelerating Graph Sampling for Graph Machine Learning using GPUs
Abhinav Jangda
Sandeep Polisetty
Arjun Guha
Marco Serafini
GNN
16
76
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
LFGCN: Levitating over Graphs with Levy Flights
LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
24
7
0
04 Sep 2020
Graph Convolutional Neural Networks with Node Transition
  Probability-based Message Passing and DropNode Regularization
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization
T. Do
Duc Minh Nguyen
Giannis Bekoulis
Adrian Munteanu
Nikos Deligiannis
11
36
0
28 Aug 2020
Simplifying Architecture Search for Graph Neural Network
Simplifying Architecture Search for Graph Neural Network
Huan Zhao
Lanning Wei
Quanming Yao
GNN
AI4CE
25
52
0
26 Aug 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree
  Hierarchy
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He
Arpan Man Sainju
Zhe Jiang
Da Yan
15
9
0
25 Aug 2020
Towards Deeper Graph Neural Networks
Towards Deeper Graph Neural Networks
Meng Liu
Hongyang Gao
Shuiwang Ji
GNN
AI4CE
46
594
0
18 Jul 2020
Kronecker Attention Networks
Kronecker Attention Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
24
33
0
16 Jul 2020
Active Learning on Attributed Graphs via Graph Cognizant Logistic
  Regression and Preemptive Query Generation
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol
Soumyasundar Pal
Yingxue Zhang
Mark J. Coates
6
12
0
09 Jul 2020
Pre-Trained Models for Heterogeneous Information Networks
Pre-Trained Models for Heterogeneous Information Networks
Yang Fang
Xiang Zhao
Yifan Chen
W. Xiao
Maarten de Rijke
SSL
35
1
0
07 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang
Meiqi Zhu
Deyu Bo
Peng Cui
C. Shi
J. Pei
BDL
30
480
0
05 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Mingyuan Ma
Sen Na
Hongyu Wang
GNN
26
28
0
03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski
Johannes Klicpera
Bryan Perozzi
Amol Kapoor
Martin J. Blais
Benedek Rozemberczki
Michal Lukasik
Stephan Günnemann
GNN
32
367
0
03 Jul 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Kwei-Herng Lai
Daochen Zha
Kaixiong Zhou
Xia Hu
21
90
0
26 Jun 2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding
  Time-resolved EEG Motor Imagery Signals
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Yimin Hou
Shuyue Jia
Xiangmin Lun
Hanrui Yang
Yan Shi
Yong Li
Shu Zhang
Jinglei Lv
10
114
0
16 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
30
432
0
13 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
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
30
407
0
11 Jun 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
24
162
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
29
28
0
23 May 2020
Graphs, Entities, and Step Mixture
Graphs, Entities, and Step Mixture
Kyuyong Shin
Wonyoung Shin
Jung-Woo Ha
Sunyoung Kwon
19
1
0
18 May 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
29
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
65
47
0
22 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lio
M. Jamnik
GNN
AI4CE
51
27
0
21 Mar 2020
An Uncoupled Training Architecture for Large Graph Learning
An Uncoupled Training Architecture for Large Graph Learning
Dalong Yang
Chuan Chen
Youhao Zheng
Zibin Zheng
Shih-wei Liao
GNN
20
1
0
21 Mar 2020
Unsupervised Hierarchical Graph Representation Learning by Mutual
  Information Maximization
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Fei Ding
Xiaohong Zhang
Justin Sybrandt
Ilya Safro
SSL
21
6
0
18 Mar 2020
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