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Inductive Representation Learning on Large Graphs

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,102 papers shown
Title
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
52
57
0
01 Apr 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning
Gossip and Attend: Context-Sensitive Graph Representation Learning
Zekarias T. Kefato
Sarunas Girdzijauskas
18
7
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
101
82
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
19
151
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
25
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
29
170
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
29
14
0
27 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
21
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
164
226
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
22
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
65
47
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
Fei Wu
Jiwei Li
27
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
GNN
AI4CE
51
27
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
19
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
24
8
0
19 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
20
109
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
29
5
0
18 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
36
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
27
103
0
14 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs
Inducing Optimal Attribute Representations for Conditional GANs
Binod Bhattarai
Tae-Kyun Kim
GAN
37
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
6
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
19
2
0
12 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
35
11
0
07 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
31
11
0
05 Mar 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,170
0
03 Mar 2020
Semi-supervised Anomaly Detection on Attributed Graphs
Semi-supervised Anomaly Detection on Attributed Graphs
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
23
37
0
27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
29
45
0
27 Feb 2020
Neural Message Passing on High Order Paths
Neural Message Passing on High Order Paths
Daniel Flam-Shepherd
Tony C Wu
Pascal Friederich
Alán Aspuru-Guzik
GNN
AI4CE
24
49
0
24 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
29
90
0
21 Feb 2020
Interpretability of machine learning based prediction models in
  healthcare
Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic
Primož Kocbek
Nino Fijačko
Marinka Zitnik
K. Verbert
Leona Cilar
AI4CE
35
372
0
20 Feb 2020
Causal Inference under Networked Interference and Intervention Policy
  Enhancement
Causal Inference under Networked Interference and Intervention Policy Enhancement
Yunpu Ma
Volker Tresp
CML
39
40
0
20 Feb 2020
Residual Correlation in Graph Neural Network Regression
Residual Correlation in Graph Neural Network Regression
Junteng Jia
Austin R. Benson
33
25
0
19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph
  Convolutional Networks
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
Tsubasa Takahashi
GNN
AAML
16
37
0
19 Feb 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
23
609
0
19 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Han Yang
Xiao Yan
XINYAN DAI
Yongqiang Chen
James Cheng
13
36
0
18 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
19
29
0
17 Feb 2020
Unifying Graph Convolutional Neural Networks and Label Propagation
Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang
J. Leskovec
GNN
24
166
0
17 Feb 2020
Generalized Embedding Machines for Recommender Systems
Generalized Embedding Machines for Recommender Systems
Enneng Yang
Xin Xin
Li Shen
G. Guo
26
2
0
16 Feb 2020
Generalization and Representational Limits of Graph Neural Networks
Generalization and Representational Limits of Graph Neural Networks
Vikas K. Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
26
304
0
14 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka
Pietro Lio
GNN
27
15
0
11 Feb 2020
Can Graph Neural Networks Count Substructures?
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
57
319
0
10 Feb 2020
Relation Embedding for Personalised POI Recommendation
Relation Embedding for Personalised POI Recommendation
Xianjing Wang
Flora D. Salim
Yongli Ren
Piotr Koniusz
24
12
0
09 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for
  Hypergraphs
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs
S. Bandyopadhyay
Kishalay Das
M. Murty
GNN
22
32
0
09 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
21
279
0
08 Feb 2020
Message Passing Query Embedding
Message Passing Query Embedding
Daniel Daza
Michael Cochez
GNN
36
7
0
06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Guillaume Salha-Galvan
Romain Hennequin
Jean-Baptiste Remy
Manuel Moussallam
Michalis Vazirgiannis
GNN
BDL
29
6
0
05 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
23
844
0
05 Feb 2020
Graph Representation Learning via Graphical Mutual Information
  Maximization
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng
Wenbing Huang
Minnan Luo
Q. Zheng
Yu Rong
Tingyang Xu
Junzhou Huang
SSL
47
566
0
04 Feb 2020
Structure-Feature based Graph Self-adaptive Pooling
Structure-Feature based Graph Self-adaptive Pooling
Liang Zhang
Xudong Wang
Hongsheng Li
Guangming Zhu
Peiyi Shen
P. Li
Xiaoyuan Lu
Syed Afaq Ali Shah
Bennamoun
26
62
0
30 Jan 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino
Adria Puigdomenech Badia
Raphael Köster
Martin Chadwick
V. Zambaldi
Demis Hassabis
Caswell Barry
M. Botvinick
D. Kumaran
Charles Blundell
KELM
26
33
0
29 Jan 2020
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