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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

Neural Information Processing Systems (NeurIPS), 2017
7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 6,281 papers shown
Message Passing Attention Networks for Document Understanding
Message Passing Attention Networks for Document UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2019
Giannis Nikolentzos
A. Tixier
Michalis Vazirgiannis
GNN
173
78
0
17 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning
Densely Connected Graph Convolutional Networks for Graph-to-Sequence LearningTransactions of the Association for Computational Linguistics (TACL), 2019
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
GNN
225
140
0
16 Aug 2019
HONEM: Learning Embedding for Higher Order Networks
HONEM: Learning Embedding for Higher Order Networks
Mandana Saebi
Giovanni Luca Ciampaglia
Lance M. Kaplan
Nitesh Chawla
89
4
0
15 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
127
64
0
14 Aug 2019
Temporal Analysis of Reddit Networks via Role Embeddings
Temporal Analysis of Reddit Networks via Role Embeddings
Siobhán Grayson
Derek Greene
95
4
0
14 Aug 2019
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation
  Network
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Bo Jiang
Leiling Wang
Jin Tang
Bin Luo
GNN
149
1
0
14 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
AdaGCN: Adaboosting Graph Convolutional Networks into Deep ModelsInternational Conference on Learning Representations (ICLR), 2019
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
288
93
0
14 Aug 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
Memory-Based Neighbourhood Embedding for Visual RecognitionIEEE International Conference on Computer Vision (ICCV), 2019
Suichan Li
Dapeng Chen
B. Liu
Nenghai Yu
Rui Zhao
201
39
0
14 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware NetworkIEEE International Conference on Computer Vision (ICCV), 2019
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
221
350
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 GenerationInternational Conference on Learning Representations (ICLR), 2019
Yu Chen
Lingfei Wu
Mohammed J Zaki
GNN
494
163
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
358
86
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
117
16
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
212
153
0
07 Aug 2019
Continuous Graph Flow
Continuous Graph Flow
Zhiwei Deng
Megha Nawhal
Lili Meng
Greg Mori
202
3
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 ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019
Heng Chang
Yu Rong
Qifeng Bai
Wenbing Huang
Honglei Zhang
Peng Cui
Wenwu Zhu
Junzhou Huang
AAML
215
166
0
04 Aug 2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
Hybrid Low-order and Higher-order Graph Convolutional NetworksComputational Intelligence and Neuroscience (CIN), 2019
Fangyu Lei
Xun Liu
Qingyun Dai
B. Ling
Huimin Zhao
Yan Liu
GNN
153
16
0
02 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape GenerationACM Transactions on Graphics (TOG), 2019
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas Guibas
3DPC
318
140
0
01 Aug 2019
Learning to Adapt Invariance in Memory for Person Re-identification
Learning to Adapt Invariance in Memory for Person Re-identificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Zhun Zhong
Liang Zheng
Shaozi Li
Shaozi Li
Yezhou Yang
OOD
255
195
0
01 Aug 2019
Cross-domain Network Representations
Cross-domain Network RepresentationsPattern Recognition (Pattern Recognit.), 2019
Shan Xue
Jie Lu
Guangquan Zhang
149
16
0
01 Aug 2019
Graph Neural Networks for Small Graph and Giant Network Representation
  Learning: An Overview
Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview
Jiawei Zhang
GNN
110
13
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
240
386
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 ComprehensionInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Yu Chen
Lingfei Wu
Mohammed J Zaki
320
79
0
31 Jul 2019
AiAds: Automated and Intelligent Advertising System for Sponsored Search
AiAds: Automated and Intelligent Advertising System for Sponsored SearchKnowledge Discovery and Data Mining (KDD), 2019
Xiao Yang
Daren Sun
Ruiwei Zhu
Tao Deng
Zhi Guo
Jiao Ding
Shouke Qin
Zongyao Ding
Yanfeng Zhu
149
20
0
28 Jul 2019
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network
  Optimization
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network OptimizationIEEE International Joint Conference on Neural Network (IJCNN), 2019
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
ODL
141
2
0
26 Jul 2019
Expressive Graph Informer Networks
Expressive Graph Informer Networks
Jaak Simm
Adam Arany
E. Brouwer
Yves Moreau
GNN
120
2
0
25 Jul 2019
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
SceneGraphNet: Neural Message Passing for 3D Indoor Scene AugmentationIEEE International Conference on Computer Vision (ICCV), 2019
Yang Zhou
Zachary While
E. Kalogerakis
3DPC
188
102
0
25 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node ClassificationInternational Conference on Learning Representations (ICLR), 2019
Yu Rong
Wenbing Huang
Qifeng Bai
Junzhou Huang
650
1,519
0
25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social RecommendationACM Conference on Recommender Systems (RecSys), 2019
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
201
19
0
24 Jul 2019
Bilinear Graph Networks for Visual Question Answering
Bilinear Graph Networks for Visual Question AnsweringIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Dalu Guo
Chang Xu
Dacheng Tao
GNN
198
67
0
23 Jul 2019
Node Attribute Generation on Graphs
Node Attribute Generation on Graphs
Xu Chen
Siheng Chen
Huangjie Zheng
Jiangchao Yao
Kenan Cui
Ya Zhang
Ivor W. Tsang
117
2
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
114
20
0
22 Jul 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing
DeepDrawing: A Deep Learning Approach to Graph DrawingIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
Yong Wang
Zhihua Jin
Qianwen Wang
Weiwei Cui
Tengfei Ma
Huamin Qu
180
69
0
17 Jul 2019
Embedding-based Silhouette Community Detection
Embedding-based Silhouette Community DetectionMachine-mediated learning (ML), 2019
Blaž Škrlj
Jan Kralj
Nada Lavrac
162
25
0
17 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions
DeepTrax: Embedding Graphs of Financial TransactionsInternational Conference on Machine Learning and Applications (ICMLA), 2019
C. Bayan Bruss
Anish Khazane
Jonathan Rider
R. Serpe
Antonia Gogoglou
Keegan E. Hines
AIFinGNN
173
51
0
16 Jul 2019
Tackling Graphical NLP problems with Graph Recurrent Networks
Tackling Graphical NLP problems with Graph Recurrent Networks
Linfeng Song
GNN
165
1
0
13 Jul 2019
k-hop Graph Neural Networks
k-hop Graph Neural NetworksNeural Networks (NN), 2019
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
247
123
0
13 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node
  Classification
Semi-Supervised Graph Embedding for Multi-Label Graph Node ClassificationWISE (WISE), 2019
Kaisheng Gao
Jing Zhang
Cangqi Zhou
74
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
160
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
213
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 TopologyNeural Information Processing Systems (NeurIPS), 2019
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
213
149
0
11 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning MethodInternational Conference on Learning Representations (ICLR), 2019
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
553
1,081
0
10 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural NetworksNeural Networks (NN), 2019
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
168
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
163
8
0
10 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention
  Networks
Graph Representation Learning via Hard and Channel-Wise Attention NetworksKnowledge Discovery and Data Mining (KDD), 2019
Hongyang Gao
Shuiwang Ji
GNN
153
59
0
05 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality
  Preservation
Improving Attention Mechanism in Graph Neural Networks via Cardinality PreservationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Shuo-feng Zhang
Lei Xie
GNN
215
59
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
152
49
0
01 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional
  Networks
Certifiable Robustness and Robust Training for Graph Convolutional NetworksKnowledge Discovery and Data Mining (KDD), 2019
Daniel Zügner
Stephan Günnemann
OffRL
170
174
0
28 Jun 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
GNN-FiLM: Graph Neural Networks with Feature-wise Linear ModulationInternational Conference on Machine Learning (ICML), 2019
Marc Brockschmidt
375
169
0
28 Jun 2019
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning
  on Large-scale Bipartite Graphs
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs
Chaoyang He
Jia Zhang
Yu Rong
Wenbing Huang
Junzhou Huang
Xiang Ren
Cyrus Shahabi
98
5
0
27 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
147
11
0
27 Jun 2019
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