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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 / 5,528 papers shown
Title
Wasserstein Autoencoders for Collaborative Filtering
Wasserstein Autoencoders for Collaborative Filtering
Jingbin Zhong
Xiaofeng Zhang
32
26
0
15 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
98
493
0
14 Sep 2018
SQL-to-Text Generation with Graph-to-Sequence Model
SQL-to-Text Generation with Graph-to-Sequence Model
Kun Xu
Lingfei Wu
Zhiguo Wang
Liwei Chen
V. Sheinin
GNNRALM
69
84
0
14 Sep 2018
Multitask Learning on Graph Neural Networks: Learning Multiple Graph
  Centrality Measures with a Unified Network
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Pedro H. C. Avelar
Henrique Lemos
Marcelo O. R. Prates
Luís C. Lamb
63
18
0
11 Sep 2018
Context-Dependent Diffusion Network for Visual Relationship Detection
Context-Dependent Diffusion Network for Visual Relationship Detection
Zhen Cui
Chunyan Xu
Wenming Zheng
Jian Yang
GNN
79
50
0
11 Sep 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale
  Convolutional Set Matching
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
Yunsheng Bai
Haoyang Ding
Yizhou Sun
Wei Wang
GNN
83
105
0
10 Sep 2018
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost
  Preservation
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation
Fei Jiang
Lei Zheng
Jin Xu
Philip S. Yu
31
6
0
07 Sep 2018
Learning Embeddings of Directed Networks with Text-Associated
  Nodes---with Applications in Software Package Dependency Networks
Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks
Kexuan Sun
Shudan Zhong
Hong Xu
15
3
0
07 Sep 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication
  Combination
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang
Cao Xiao
Tengfei Ma
Hongyan Li
Jimeng Sun
GNN
100
264
0
06 Sep 2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and
  Text
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun
Bhuwan Dhingra
Manzil Zaheer
Kathryn Mazaitis
Ruslan Salakhutdinov
William W. Cohen
113
418
0
04 Sep 2018
Smoothed Dilated Convolutions for Improved Dense Prediction
Smoothed Dilated Convolutions for Improved Dense Prediction
Zhengyang Wang
Shuiwang Ji
77
166
0
27 Aug 2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
Xingjian Shi
Dit-Yan Yeung
AI4TS
73
88
0
21 Aug 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of
  Large-Scale Mobile Games
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
48
43
0
20 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai
Haoyang Ding
Song Bian
Ting-Li Chen
Yizhou Sun
Wei Wang
GNN
74
327
0
16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures
Learning Graph Embeddings from WordNet-based Similarity Measures
Andrey Kutuzov
M. Dorgham
Oleksiy Oliynyk
Chris Biemann
Alexander Panchenko
GNN
33
17
0
16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
114
599
0
12 Aug 2018
Attention Models in Graphs: A Survey
Attention Models in Graphs: A Survey
J. B. Lee
Ryan A. Rossi
Sungchul Kim
Nesreen K. Ahmed
Eunyee Koh
GNN
67
164
0
20 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning
DeepInf: Social Influence Prediction with Deep Learning
J. Qiu
Jian Tang
Hao Ma
Yuxiao Dong
Kuansan Wang
Jie Tang
GNNAI4CE
85
549
0
15 Jul 2018
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding
  Spaces
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces
Minhyuk Sung
Anastasia Dubrovina
Vladimir G. Kim
Leonidas Guibas
3DPC
69
9
0
04 Jul 2018
Empirical Risk Minimization and Stochastic Gradient Descent for
  Relational Data
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
Victor Veitch
Morgane Austern
Wenda Zhou
David M. Blei
Peter Orbanz
74
9
0
27 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
371
2,164
0
22 Jun 2018
Towards Gene Expression Convolutions using Gene Interaction Graphs
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil
Joseph Paul Cohen
Martin Weiss
Georgy Derevyanko
Yoshua Bengio
GNN
66
33
0
18 Jun 2018
Android Malware Detection using Large-scale Network Representation Learning
Rui Zhu
Chenglin Li
Di Niu
Hongwen Zhang
Husam Kinawi
GNN
36
8
0
13 Jun 2018
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
598
1,998
0
09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
351
906
0
07 Jun 2018
Adversarial Attack on Graph Structured Data
Adversarial Attack on Graph Structured Data
H. Dai
Hui Li
Tian Tian
Xin Huang
L. Wang
Jun Zhu
Le Song
GNNAAMLOOD
127
780
0
06 Jun 2018
Deep Vessel Segmentation By Learning Graphical Connectivity
Deep Vessel Segmentation By Learning Graphical Connectivity
Seung Yeon Shin
Soochahn Lee
I. Yun
Kyoung Mu Lee
77
210
0
06 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
403
3,579
0
06 Jun 2018
Embedding Logical Queries on Knowledge Graphs
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton
Payal Bajaj
Marinka Zitnik
Dan Jurafsky
J. Leskovec
NAI
113
292
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
888
3,132
0
04 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas Guibas
AAMLGNN
88
41
0
31 May 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph
  Processing
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
D. Bacciu
Federico Errica
Alessio Micheli
BDLGNN
80
73
0
27 May 2018
Deep Graph Translation
Deep Graph Translation
Xiaojie Guo
Lingfei Wu
Liang Zhao
GNN
67
33
0
25 May 2018
AffinityNet: semi-supervised few-shot learning for disease type
  prediction
AffinityNet: semi-supervised few-shot learning for disease type prediction
Tianle Ma
A. Zhang
78
55
0
22 May 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNNAAMLOOD
197
1,075
0
21 May 2018
Learning Permutations with Sinkhorn Policy Gradient
Learning Permutations with Sinkhorn Policy Gradient
Patrick Emami
Sanjay Ranka
65
55
0
18 May 2018
Towards a Spectrum of Graph Convolutional Networks
Towards a Spectrum of Graph Convolutional Networks
Mathias Niepert
Alberto García-Durán
GNN
40
1
0
04 May 2018
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings
Saba A. Al-Sayouri
Ekta Gujral
Danai Koutra
Evangelos E. Papalexakis
Sarah S. Lam
33
9
0
03 May 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed
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Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Vachik S. Dave
Baichuan Zhang
Pin-Yu Chen
M. Hasan
BDL
61
29
0
23 Apr 2018
Feature Propagation on Graph: A New Perspective to Graph Representation
  Learning
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
B. Xiang
Ziqi Liu
Jun Zhou
Xiaolong Li
3DVGNN
63
7
0
17 Apr 2018
Walk-Steered Convolution for Graph Classification
Walk-Steered Convolution for Graph Classification
Jiatao Jiang
Chunyan Xu
Zhen Cui
Tong Zhang
Chengzhen Li
Jian Yang
GNN
69
12
0
16 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
85
173
0
03 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Kien Do
T. Tran
Thin Nguyen
Svetha Venkatesh
56
17
0
01 Apr 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
122
303
0
28 Mar 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal
  Graphs
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang
Xingjian Shi
Junyuan Xie
Hao Ma
Irwin King
Dit-Yan Yeung
GNN
122
573
0
20 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification
Graph Partition Neural Networks for Semi-Supervised Classification
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
GNN
61
76
0
16 Mar 2018
Representation Learning over Dynamic Graphs
Representation Learning over Dynamic Graphs
Rakshit S. Trivedi
Mehrdad Farajtabar
P. Biswal
H. Zha
AI4TSAI4CE
82
53
0
11 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning
Attention-based Graph Neural Network for Semi-supervised Learning
K. K. Thekumparampil
Chong-Jun Wang
Sewoong Oh
Li Li
GNN
98
335
0
10 Mar 2018
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
168
158
0
07 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning
Bioinformatics and Medicine in the Era of Deep Learning
D. Bacciu
P. Lisboa
José D. Martín
R. Stoean
A. Vellido
AI4CEBDL
64
17
0
27 Feb 2018
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