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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown
Title
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN
Tingyi Wanyan
Chenwei Zhang
A. Azad
Xiaomin Liang
Daifeng Li
Ying Ding
42
2
0
03 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution
  Communication
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
Jianyu Su
Stephen C. Adams
Peter A. Beling
66
26
0
01 Apr 2020
Learning to Cluster Faces via Confidence and Connectivity Estimation
Learning to Cluster Faces via Confidence and Connectivity Estimation
Lei Yang
Dapeng Chen
Xiaohang Zhan
Rui Zhao
Chen Change Loy
Dahua Lin
3DHGNNCVBM
46
88
0
01 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with
  Survey and Benchmark
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang
Yuxin Xiao
Yu Zhang
Yizhou Sun
Jiawei Han
AI4TS
156
58
0
01 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
156
838
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
41
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
98
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
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative
  Filtering
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
Tomislav Duricic
Hussain Hussain
Emanuel Lacić
Dominik Kowald
D. Helic
Elisabeth Lex
FedML
34
3
0
30 Mar 2020
Temporal Network Representation Learning via Historical Neighborhoods
  Aggregation
Temporal Network Representation Learning via Historical Neighborhoods Aggregation
Shixun Huang
Z. Bao
Guoliang Li
Yanghao Zhou
J. Culpepper
AI4TS
96
18
0
30 Mar 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
Suichan Li
B. Liu
Dongdong Chen
Qi Chu
Lu Yuan
Nenghai Yu
82
30
0
30 Mar 2020
A Graph to Graphs Framework for Retrosynthesis Prediction
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi
Minkai Xu
Hongyu Guo
Ming Zhang
Jian Tang
70
154
0
28 Mar 2020
The impossibility of low rank representations for triangle-rich complex
  networks
The impossibility of low rank representations for triangle-rich complex networks
C. Seshadhri
Aneesh Sharma
Andrew Stolman
Ashish Goel
GNN
89
67
0
27 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector
  Embeddings of Structured Data
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data
Martin Grohe
96
174
0
27 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
68
14
0
27 Mar 2020
A Collective Learning Framework to Boost GNN Expressiveness
A Collective Learning Framework to Boost GNN Expressiveness
Mengyue Hang
Jennifer Neville
Bruno Ribeiro
AI4CE
132
4
0
26 Mar 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural
  Networks
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
M. Balcilar
G. Renton
Pierre Héroux
Benoit Gaüzère
Sébastien Adam
P. Honeine
70
60
0
26 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
242
233
0
23 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
58
3
0
23 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
88
20
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
GNNAI4CE
108
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
38
1
0
21 Mar 2020
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social
  Networks
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks
S. Ghafari
29
2
0
21 Mar 2020
Affinity Graph Supervision for Visual Recognition
Affinity Graph Supervision for Visual Recognition
Chu Wang
Babak Samari
Vladimir G. Kim
S. Chaudhuri
Kaleem Siddiqi
GNN
59
8
0
19 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
29
6
0
18 Mar 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional
  Networks
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
GNN
155
114
0
18 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
72
5
0
18 Mar 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human
  Motion Prediction
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li
Siheng Chen
Yangheng Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
AI4CE3DH
147
309
0
17 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
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene
  Text Detection with Graph Convolutional Networks
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks
Chixiang Ma
Lei-huan Sun
Zhuoyao Zhong
Qiang Huo
74
56
0
16 Mar 2020
Collaborative Motion Prediction via Neural Motion Message Passing
Collaborative Motion Prediction via Neural Motion Message Passing
Yue Hu
Siheng Chen
Ya Zhang
Xiao Gu
66
105
0
14 Mar 2020
Evaluating Logical Generalization in Graph Neural Networks
Evaluating Logical Generalization in Graph Neural Networks
Koustuv Sinha
Shagun Sodhani
Joelle Pineau
William L. Hamilton
NAIAI4CE
101
23
0
14 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs
Inducing Optimal Attribute Representations for Conditional GANs
Binod Bhattarai
Tae-Kyun Kim
GAN
139
19
0
13 Mar 2020
Methods for Actors in the Electric Power System to Prevent, Detect and
  React to ICT Attacks and Failures
Methods for Actors in the Electric Power System to Prevent, Detect and React to ICT Attacks and Failures
D. Velde
Martin Henze
Philipp Kathmann
Erik Wassermann
Michael Andres
...
P. Linnartz
Benjamin Meyer
Simon Ofner
T. Pletzer
R. Sethmann
38
25
0
13 Mar 2020
Topological Effects on Attacks Against Vertex Classification
Topological Effects on Attacks Against Vertex Classification
B. A. Miller
Mustafa Çamurcu
Alexander J. Gomez
Kevin S. Chan
Tina Eliassi-Rad
AAML
53
2
0
12 Mar 2020
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Xiang Wang
Yaokun Xu
Xiangnan He
Yixin Cao
Meng Wang
Tat-Seng Chua
OffRL
75
185
0
12 Mar 2020
A Graph Attention Spatio-temporal Convolutional Network for 3D Human
  Pose Estimation in Video
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
Junfa Liu
Juan Rojas
Zhijun Liang
Yihui Li
Yisheng Guang
3DH
110
15
0
11 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
404
173
0
09 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management
Link Prediction using Graph Neural Networks for Master Data Management
Balaji Ganesan
Srinivas Parkala
Neeraj R Singh
Sumit Bhatia
Gayatri Mishra
Matheen Ahmed Pasha
Hima Patel
Somashekar Naganna
AI4CE
73
11
0
07 Mar 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
235
753
0
07 Mar 2020
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic
  Signal Control
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
François-Xavier Devailly
Denis Larocque
Laurent Charlin
AI4CE
128
70
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
104
12
0
04 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender Systems
Learning to Hash with Graph Neural Networks for Recommender Systems
Qiaoyu Tan
Ninghao Liu
Xing Zhao
Hongxia Yang
Jingren Zhou
Helen Zhou
163
94
0
04 Mar 2020
Self-Supervised Graph Representation Learning via Global Context
  Prediction
Self-Supervised Graph Representation Learning via Global Context Prediction
Zhen Peng
Yixiang Dong
Minnan Luo
Xiao-Ming Wu
Q. Zheng
SSL
126
65
0
03 Mar 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
357
1,220
0
03 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
645
958
0
02 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative
  Modeling
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Chenhao Niu
Yang Song
Jiaming Song
Shengjia Zhao
Aditya Grover
Stefano Ermon
DiffM
81
274
0
02 Mar 2020
Graph Representation Learning for Merchant Incentive Optimization in
  Mobile Payment Marketing
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing
Ziqi Liu
Dong Wang
Qianyu Yu
Qing Cui
Yue Shen
...
Leon Wenliang Zhong
Jinjie Gu
Jun Zhou
Shuang Yang
Yuan Qi
OffRL
40
16
0
27 Feb 2020
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