ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.02216
  4. Cited By
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 / 5,533 papers shown
Title
GraLSP: Graph Neural Networks with Local Structural Patterns
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin
Guojie Song
C. Shi
92
53
0
18 Nov 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph
  Convolutional Networks
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou
Ziniu Hu
Yewen Wang
Song Jiang
Yizhou Sun
Quanquan Gu
GNN
123
286
0
17 Nov 2019
Graph-Revised Convolutional Network
Graph-Revised Convolutional Network
Donghan Yu
Ruohong Zhang
Zhengbao Jiang
Yuexin Wu
Yiming Yang
GNN
75
98
0
17 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAIAI4CE
104
399
0
16 Nov 2019
An Induced Multi-Relational Framework for Answer Selection in Community
  Question Answer Platforms
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang
Chaoqi Yang
A. Krishnan
Junting Wang
Hari Sundaram
Carolyn Sutter
72
6
0
16 Nov 2019
Unsupervised Attributed Multiplex Network Embedding
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park
Donghyun Kim
Jiawei Han
Hwanjo Yu
85
261
0
15 Nov 2019
Hierarchical Graph Pooling with Structure Learning
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
102
178
0
14 Nov 2019
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language
  Representation
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang
Tianyu Gao
Zhaocheng Zhu
Zhengyan Zhang
Zhiyuan Liu
Juan-Zi Li
Jian Tang
199
675
0
13 Nov 2019
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula
Edward James Smith
Jean-Francois Lafleche
Clement Fuji-Tsang
Artem Rozantsev
Wenzheng Chen
Tommy Xiang
Rev Lebaredian
Sanja Fidler
3DPCAI4CE
93
127
0
12 Nov 2019
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional Networks
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
117
138
0
12 Nov 2019
Multi-hop Convolutions on Weighted Graphs
Multi-hop Convolutions on Weighted Graphs
Qikui Zhu
Bo Du
Pingkun Yan
56
16
0
12 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks
GraphDefense: Towards Robust Graph Convolutional Networks
Xiaoyun Wang
Xuanqing Liu
Cho-Jui Hsieh
OODAAMLGNN
86
31
0
11 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TSAI4CE
161
1,407
0
11 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving
  General Graph Neural Network
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network
Deli Chen
Xiaoqian Liu
Yankai Lin
Peng Li
Jie Zhou
Qi Su
Xu Sun
GNN
44
2
0
10 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal
Florence Regol
Mark Coates
BDLGNN
75
12
0
08 Nov 2019
Building Segmentation through a Gated Graph Convolutional Neural Network
  with Deep Structured Feature Embedding
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding
Yilei Shi
Qingyu Li
X. Zhu
82
112
0
08 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
174
851
0
08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing
Neural Graph Embedding Methods for Natural Language Processing
Shikhar Vashishth
GNN
74
9
0
08 Nov 2019
Graph Convolutional Networks Meet with High Dimensionality Reduction
Graph Convolutional Networks Meet with High Dimensionality Reduction
Mustafa Coşkun
GNNBDL
29
3
0
07 Nov 2019
Auto-encoding brain networks with applications to analyzing large-scale
  brain imaging datasets
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets
Meimei Liu
Zhengwu Zhang
David B. Dunson
65
4
0
07 Nov 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
Ruochi Zhang
Yuesong Zou
Jian Ma
GNN
159
194
0
06 Nov 2019
weg2vec: Event embedding for temporal networks
weg2vec: Event embedding for temporal networks
M. Torricelli
M. Karsai
L. Gauvin
AI4TS
60
30
0
06 Nov 2019
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
193
992
0
06 Nov 2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation
  and Interaction
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction
Fenyu Hu
Yanqiao Zhu
Shu Wu
Weiran Huang
Liang Wang
Tieniu Tan
GNN
74
47
0
05 Nov 2019
Scalable Deep Generative Relational Models with High-Order Node
  Dependence
Scalable Deep Generative Relational Models with High-Order Node Dependence
Xuhui Fan
Bin Li
Scott A. Sisson
Caoyuan Li
Ling-Hao Chen
BDL
45
10
0
04 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge
  Variational Autoencoders
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
Carl Yang
Jieyu Zhang
Haonan Wang
Sha Li
M. Kim
Matthew Walker
Yiou Xiao
Jiawei Han
81
43
0
04 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks
Semi-supervisedly Co-embedding Attributed Networks
Zaiqiao Meng
Shangsong Liang
Jinyuan Fang
Teng Xiao
GNNDRL
71
26
0
31 Oct 2019
Network Classifiers With Output Smoothing
Network Classifiers With Output Smoothing
Elsa Rizk
Roula Nassif
Ali H. Sayed
26
1
0
30 Oct 2019
Graph Neural News Recommendation with Long-term and Short-term Interest
  Modeling
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu
Chen Li
C. Shi
Cheng Yang
Chao Shao
GNNAI4TS
50
174
0
30 Oct 2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional
  Networks
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
Jingwen Wang
Richard J. Chen
Ming Y. Lu
Alexander S. Baras
Faisal Mahmood
MedIm
186
58
0
29 Oct 2019
G2SAT: Learning to Generate SAT Formulas
G2SAT: Learning to Generate SAT Formulas
Jiaxuan You
Haoze Wu
Clark W. Barrett
R. Ramanujan
J. Leskovec
NAI
88
36
0
29 Oct 2019
Learning Transferable Graph Exploration
Learning Transferable Graph Exploration
H. Dai
Yujia Li
Chenglong Wang
Rishabh Singh
Po-Sen Huang
Pushmeet Kohli
79
22
0
28 Oct 2019
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
124
656
0
28 Oct 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CEGNN
84
381
0
28 Oct 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
221
720
0
28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural
  Networks
Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Danhao Zhu
Xinyu Dai
Jiajun Chen
77
25
0
27 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
65
82
0
25 Oct 2019
Hierarchical Representation Learning in Graph Neural Networks with Node
  Decimation Pooling
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
201
49
0
24 Oct 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
Asiri Wijesinghe
Qing Wang
GNN
78
28
0
24 Oct 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level
  Sentiment Classification
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Xiaochen Hou
Jing Huang
Guangtao Wang
Xiaodong He
Bowen Zhou
72
54
0
24 Oct 2019
Feature Selection and Extraction for Graph Neural Networks
Feature Selection and Extraction for Graph Neural Networks
D. Acharya
Huaming Zhang
46
28
0
23 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification
Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi
Qiannan Zhang
Han Yufei
Xiangliang Zhang
GNN
75
8
0
22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node
  Classification
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
Uchenna Akujuobi
Yufei Han
Qiannan Zhang
Xiangliang Zhang
55
17
0
22 Oct 2019
Hierarchical Attentive Knowledge Graph Embedding for Personalized
  Recommendation
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Xiao Sha
Zhu Sun
Jie Zhang
141
65
0
18 Oct 2019
Learning chordal extensions
Learning chordal extensions
Defeng Liu
Andrea Lodi
Mathieu Tanneau
43
7
0
16 Oct 2019
Active Learning for Graph Neural Networks via Node Feature Propagation
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
GNNAI4CE
101
65
0
16 Oct 2019
On Learning Paradigms for the Travelling Salesman Problem
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
145
33
0
16 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional
  Networks
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
A. Mazari
H. Sahbi
GNN
45
5
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
98
176
0
15 Oct 2019
Efficiently Embedding Dynamic Knowledge Graphs
Efficiently Embedding Dynamic Knowledge Graphs
Tianxing Wu
Arijit Khan
Melvin Yong
Huan Gao
Cheng Li
85
66
0
15 Oct 2019
Previous
123...102103104...109110111
Next