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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 / 5,529 papers shown
Title
Dynamic Graph Message Passing Networks
Dynamic Graph Message Passing Networks
Li Zhang
Dan Xu
Anurag Arnab
Philip Torr
GNN
102
138
0
19 Aug 2019
Message Passing Attention Networks for Document Understanding
Message Passing Attention Networks for Document Understanding
Giannis Nikolentzos
A. Tixier
Michalis Vazirgiannis
GNN
80
70
0
17 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
GNN
90
131
0
16 Aug 2019
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac
  CT Angiography
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography
J. Wolterink
T. Leiner
Ivana Išgum
67
63
0
14 Aug 2019
Temporal Analysis of Reddit Networks via Role Embeddings
Temporal Analysis of Reddit Networks via Role Embeddings
Siobhán Grayson
Derek Greene
24
2
0
14 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
105
83
0
14 Aug 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li
Dapeng Chen
B. Liu
Nenghai Yu
Rui Zhao
135
39
0
14 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
82
313
0
14 Aug 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural
  Question Generation
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Yu Chen
Lingfei Wu
Mohammed J Zaki
GNN
97
156
0
14 Aug 2019
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
95
79
0
13 Aug 2019
Graph Embedding Using Infomax for ASD Classification and Brain
  Functional Difference Detection
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection
Xiaoxiao Li
Nicha Dvornek
Juntang Zhuang
P. Ventola
James Duncan
64
15
0
09 Aug 2019
HATS: A Hierarchical Graph Attention Network for Stock Movement
  Prediction
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Raehyun Kim
Chan Ho So
Minbyul Jeong
Sanghoon Lee
Jinkyu Kim
Jaewoo Kang
AIFin
108
128
0
07 Aug 2019
A Restricted Black-box Adversarial Framework Towards Attacking Graph
  Embedding Models
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Honglei Zhang
Peng Cui
Wenwu Zhu
Junzhou Huang
AAML
70
155
0
04 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas Guibas
3DPC
120
134
0
01 Aug 2019
Learning to Adapt Invariance in Memory for Person Re-identification
Learning to Adapt Invariance in Memory for Person Re-identification
Zhun Zhong
Liang Zheng
Shaozi Li
Shaozi Li
Yezhou Yang
OOD
87
180
0
01 Aug 2019
Cross-domain Network Representations
Cross-domain Network Representations
Shan Xue
Jie Lu
Guangquan Zhang
71
16
0
01 Aug 2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional
  Networks for Financial Forensics
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber
Giacomo Domeniconi
Jie Chen
D. Weidele
Claudio Bellei
Tom Robinson
C. E. Leiserson
76
332
0
31 Jul 2019
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for
  Conversational Machine Comprehension
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Yu Chen
Lingfei Wu
Mohammed J Zaki
79
76
0
31 Jul 2019
AiAds: Automated and Intelligent Advertising System for Sponsored Search
AiAds: Automated and Intelligent Advertising System for Sponsored Search
Xiao Yang
Daren Sun
Ruiwei Zhu
Tao Deng
Zhi Guo
Jiao Ding
Shouke Qin
Zongyao Ding
Yanfeng Zhu
73
17
0
28 Jul 2019
Expressive Graph Informer Networks
Expressive Graph Informer Networks
Jaak Simm
Adam Arany
E. Brouwer
Yves Moreau
GNN
47
2
0
25 Jul 2019
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
Yang Zhou
Zachary While
E. Kalogerakis
3DPC
80
95
0
25 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
130
1,357
0
25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
71
19
0
24 Jul 2019
Bilinear Graph Networks for Visual Question Answering
Bilinear Graph Networks for Visual Question Answering
Dalu Guo
Chang Xu
Dacheng Tao
GNN
93
54
0
23 Jul 2019
IsoNN: Isomorphic Neural Network for Graph Representation Learning and
  Classification
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Lin Meng
Jiawei Zhang
GNN
69
19
0
22 Jul 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing
DeepDrawing: A Deep Learning Approach to Graph Drawing
Yong Wang
Zhihua Jin
Qianwen Wang
Weiwei Cui
Tengfei Ma
Huamin Qu
83
56
0
17 Jul 2019
Embedding-based Silhouette Community Detection
Embedding-based Silhouette Community Detection
Blaž Škrlj
Jan Kralj
Nada Lavrac
64
22
0
17 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions
DeepTrax: Embedding Graphs of Financial Transactions
C. Bayan Bruss
Anish Khazane
Jonathan Rider
R. Serpe
Antonia Gogoglou
Keegan E. Hines
AIFinGNN
84
46
0
16 Jul 2019
Tackling Graphical NLP problems with Graph Recurrent Networks
Tackling Graphical NLP problems with Graph Recurrent Networks
Linfeng Song
GNN
39
1
0
13 Jul 2019
k-hop Graph Neural Networks
k-hop Graph Neural Networks
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
76
106
0
13 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node
  Classification
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
Kaisheng Gao
Jing Zhang
Cangqi Zhou
36
8
0
12 Jul 2019
Learning Functions over Sets via Permutation Adversarial Networks
Learning Functions over Sets via Permutation Adversarial Networks
Chirag Pabbaraju
Prateek Jain
109
8
0
12 Jul 2019
Learning a Static Bug Finder from Data
Learning a Static Bug Finder from Data
Yu Wang
Fengjuan Gao
Linzhang Wang
Ke Wang
64
9
0
12 Jul 2019
Understanding the Representation Power of Graph Neural Networks in
  Learning Graph Topology
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
106
135
0
11 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
143
971
0
10 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
83
77
0
10 Jul 2019
Label-Aware Graph Convolutional Networks
Label-Aware Graph Convolutional Networks
Hao Chen
Yue Xu
Lu Wang
Dijun Luo
Wenbing Huang
Senzhang Wang
Peng He
Zhoujun Li
55
8
0
10 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention
  Networks
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Hongyang Gao
Shuiwang Ji
GNN
70
57
0
05 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality
  Preservation
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Shuo-feng Zhang
Lei Xie
GNN
98
55
0
04 Jul 2019
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
Xing Gao
H. Xiong
P. Frossard
89
41
0
01 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional
  Networks
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Daniel Zügner
Stephan Günnemann
OffRL
85
163
0
28 Jun 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
120
141
0
28 Jun 2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Matej Balog
B. V. Merrienboer
Subhodeep Moitra
Yujia Li
Daniel Tarlow
GNN
58
10
0
27 Jun 2019
Signed Graph Attention Networks
Signed Graph Attention Networks
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
GNN
95
122
0
26 Jun 2019
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data
Zhen Wang
Xiang Yue
Soheil Moosavinasab
Yungui Huang
Simon M. Lin
Huan Sun
62
15
0
21 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural
  Networks
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao
Huawei Shen
Jinhua Gao
Bingzheng Wei
Xueqi Cheng
GNN
64
136
0
21 Jun 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
85
46
0
21 Jun 2019
Placeto: Learning Generalizable Device Placement Algorithms for
  Distributed Machine Learning
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Ravichandra Addanki
S. Venkatakrishnan
Shreyan Gupta
Hongzi Mao
Mohammad Alizadeh
OODOffRL
75
68
0
20 Jun 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Andrey Kutuzov
M. Dorgham
Oleksiy Oliynyk
Chris Biemann
Alexander Panchenko
90
6
0
17 Jun 2019
Learning Correlated Latent Representations with Adaptive Priors
Learning Correlated Latent Representations with Adaptive Priors
Da Tang
Dawen Liang
Nicholas Ruozzi
Tony Jebara
BDLCML
63
1
0
14 Jun 2019
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