ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.09691
  4. Cited By
Link Prediction Based on Graph Neural Networks
v1v2v3 (latest)

Link Prediction Based on Graph Neural Networks

Neural Information Processing Systems (NeurIPS), 2018
27 February 2018
Muhan Zhang
Yixin Chen
    GNN
ArXiv (abs)PDFHTML

Papers citing "Link Prediction Based on Graph Neural Networks"

50 / 883 papers shown
Title
Probing Model Signal-Awareness via Prediction-Preserving Input
  Minimization
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization
Sahil Suneja
Yunhui Zheng
Yufan Zhuang
Jim Laredo
Alessandro Morari
AAML
246
37
0
25 Nov 2020
Auto Graph Encoder-Decoder for Neural Network Pruning
Auto Graph Encoder-Decoder for Neural Network PruningIEEE International Conference on Computer Vision (ICCV), 2020
Sixing Yu
Arya Mazaheri
Ali Jannesari
GNN
191
46
0
25 Nov 2020
Who killed Lilly Kane? A case study in applying knowledge graphs to
  crime fiction
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction
Mariam Alaverdian
W. Gilroy
Veronica Kirgios
Xia Li
Carolina Matuk
Daniel McKenzie
Tachin Ruangkriengsin
Andrea L. Bertozzi
P. Brantingham
101
2
0
24 Nov 2020
Revisiting graph neural networks and distance encoding from a practical
  view
Revisiting graph neural networks and distance encoding from a practical view
Haoteng Yin
Yanbang Wang
Pan Li
AI4CE
156
7
0
22 Nov 2020
Node Similarity Preserving Graph Convolutional Networks
Node Similarity Preserving Graph Convolutional NetworksWeb Search and Data Mining (WSDM), 2020
Wei Jin
Hanyu Wang
Yiqi Wang
Yao Ma
Zitao Liu
Shucheng Zhou
193
298
0
19 Nov 2020
Parameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
Dongsheng Luo
Wei Cheng
Dongkuan Xu
Wenchao Yu
Bo Zong
Haifeng Chen
Xiang Zhang
336
673
0
09 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning
  Models for Article Vectorisation
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
Diego Kozlowski
Jennifer Dusdal
Jun Pang
A. Zilian
71
21
0
05 Nov 2020
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational
  Inference
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ali Lotfi-Rezaabad
Rahi Kalantari
S. Vishwanath
Mingyuan Zhou
Jonathan I. Tamir
111
2
0
31 Oct 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
336
229
0
30 Oct 2020
Co-embedding of Nodes and Edges with Graph Neural Networks
Co-embedding of Nodes and Edges with Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Xiaodong Jiang
Ronghang Zhu
Pengsheng Ji
Sheng Li
GNN
174
91
0
25 Oct 2020
Deep Graph Matching and Searching for Semantic Code Retrieval
Deep Graph Matching and Searching for Semantic Code RetrievalACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Xiang Ling
Lingfei Wu
Sai-gang Wang
Gaoning Pan
Tengfei Ma
Fangli Xu
A. Liu
Chunming Wu
S. Ji
GNN
165
106
0
24 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label
  Propagation
On the Equivalence of Decoupled Graph Convolution Network and Label PropagationThe Web Conference (WWW), 2020
Hande Dong
Jiawei Chen
Fuli Feng
Xiangnan He
Shuxian Bi
Zhaolin Ding
Peng Cui
BDL
250
121
0
23 Oct 2020
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
292
246
0
20 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
  Neural Networks
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
189
384
0
12 Oct 2020
UniNet: Scalable Network Representation Learning with
  Metropolis-Hastings Sampling
UniNet: Scalable Network Representation Learning with Metropolis-Hastings SamplingIEEE International Conference on Data Engineering (ICDE), 2020
Xingyu Yao
Yingxia Shao
Tengjiao Wang
Lei Chen
130
10
0
10 Oct 2020
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
Devanshu Arya
D. K. Gupta
Stevan Rudinac
Marcel Worring
124
92
0
09 Oct 2020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge
  Graph Summarization
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
Yue Yu
Kexin Huang
Chao Zhang
Lucas Glass
Jimeng Sun
Cao Xiao
207
142
0
04 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks
Multi-grained Semantics-aware Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Zhiqiang Zhong
Chengzong Li
Jun Pang
AI4CE
152
9
0
01 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to AcceleratorsACM Computing Surveys (ACM CSUR), 2020
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
444
264
0
30 Sep 2020
GraphITE: Estimating Individual Effects of Graph-structured Treatments
GraphITE: Estimating Individual Effects of Graph-structured Treatments
Shonosuke Harada
H. Kashima
CML
199
28
0
29 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node
  Classification from an Optimization Perspective
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
Hongwei Zhang
Tijin Yan
Zenjun Xie
Yuanqing Xia
Yuan Zhang
GNN
237
24
0
24 Sep 2020
Learned Low Precision Graph Neural Networks
Learned Low Precision Graph Neural Networks
Yiren Zhao
Duo Wang
Daniel Bates
Robert D. Mullins
M. Jamnik
Pietro Lio
GNN
153
38
0
19 Sep 2020
Image Retrieval for Structure-from-Motion via Graph Convolutional
  Network
Image Retrieval for Structure-from-Motion via Graph Convolutional NetworkInformation Sciences (Inf. Sci.), 2020
Shen Yan
Yang Pen
Shiming Lai
Yu Liu
Maojun Zhang
137
20
0
17 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
CatGCN: Graph Convolutional Networks with Categorical Node FeaturesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Weijia Chen
Fuli Feng
Qifan Wang
Xiangnan He
Chonggang Song
Guohui Ling
Yongdong Zhang
GNN
170
24
0
11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural NetworksData mining and knowledge discovery (DMKD), 2020
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
250
64
0
08 Sep 2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph
  Representation Learning
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Shu Wu
Liang Wang
SSLGNN
127
29
0
03 Sep 2020
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to
  Any-Layer Graph Neural Networks via Influence Function
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence FunctionWeb Search and Data Mining (WSDM), 2020
Binghui Wang
Tianxiang Zhou
Min Lin
Pan Zhou
Ang Li
Meng Pang
Xue Yang
Yiran Chen
AAML
395
22
0
01 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for
  Graph Representation Learning
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li
Yanbang Wang
Hongwei Wang
J. Leskovec
GNN
490
12
0
31 Aug 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers
  for Analyzing Data Analysis
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data AnalysisEPJ Data Science (EPJ Data Sci.), 2020
Ashley Ge Zhang
Michael Merrill
Yang Liu
Jeffrey Heer
Tim Althoff
ViT
104
14
0
28 Aug 2020
A comparative study of similarity-based and GNN-based link prediction
  approaches
A comparative study of similarity-based and GNN-based link prediction approaches
K. Islam
Sabeur Aridhi
Malika Smaïl-Tabbone
84
14
0
20 Aug 2020
A Survey on Graph Neural Networks for Knowledge Graph Completion
A Survey on Graph Neural Networks for Knowledge Graph Completion
Siddhant Arora
216
78
0
24 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph
  Representation and Learning
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng
Bingxin Zhou
Ming Li
Yu Guang Wang
Junbin Gao
152
2
0
22 Jul 2020
Towards Deeper Graph Neural Networks
Towards Deeper Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2020
Meng Liu
Hongyang Gao
Shuiwang Ji
GNNAI4CE
272
669
0
18 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix
  Factorization-based Perspective
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
Qiang Liu
Haoli Zhang
Zhaocheng Liu
GNN
299
3
0
17 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous
  Graphs
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsNeural Information Processing Systems (NeurIPS), 2020
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
239
76
0
16 Jul 2020
Inductive Link Prediction for Nodes Having Only Attribute Information
Inductive Link Prediction for Nodes Having Only Attribute InformationInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Yu Hao
Xin Cao
Yixiang Fang
Xike Xie
Sibo Wang
129
84
0
16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
H. Hafidi
Mounir Ghogho
P. Ciblat
A. Swami
SSL
177
58
0
15 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Networks for Graphs Containing Missing FeaturesFuture generations computer systems (FGCS), 2020
Hibiki Taguchi
Xin Liu
T. Murata
GNN
174
121
0
09 Jul 2020
GraphOpt: Learning Optimization Models of Graph Formation
GraphOpt: Learning Optimization Models of Graph FormationInternational Conference on Machine Learning (ICML), 2020
Rakshit S. Trivedi
Jiachen Yang
H. Zha
OffRL
150
17
0
07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural
  Networks
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
Amol Kapoor
X. Ben
Luyang Liu
Bryan Perozzi
Matt Barnes
Martin J. Blais
S. O’Banion
123
212
0
06 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised
  Few-Shot Learning
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning
Baoquan Zhang
Ka-Cheong Leung
Yunming Ye
Xutao Li
182
1
0
05 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski
Johannes Klicpera
Bryan Perozzi
Amol Kapoor
Martin J. Blais
Benedek Rozemberczki
Michal Lukasik
Stephan Günnemann
GNN
426
396
0
03 Jul 2020
Building powerful and equivariant graph neural networks with structural
  message-passing
Building powerful and equivariant graph neural networks with structural message-passing
Clément Vignac
Andreas Loukas
P. Frossard
250
134
0
26 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node
  Classification
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Lukas Galke
Benedikt Franke
Tobias Zielke
A. Scherp
GNNAI4CE
284
41
0
25 Jun 2020
Graph Policy Network for Transferable Active Learning on Graphs
Graph Policy Network for Transferable Active Learning on GraphsNeural Information Processing Systems (NeurIPS), 2020
Shengding Hu
Zheng Xiong
Meng Qu
Xingdi Yuan
Marc-Alexandre Côté
Zhiyuan Liu
Jian Tang
GNN
368
76
0
24 Jun 2020
Self-supervised edge features for improved Graph Neural Network training
Self-supervised edge features for improved Graph Neural Network training
Arijit Sehanobish
N. Ravindra
David van Dijk
SSL
143
6
0
23 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
467
830
0
18 Jun 2020
Subgraph Neural Networks
Subgraph Neural Networks
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
265
159
0
18 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local SubgraphsNeural Information Processing Systems (NeurIPS), 2020
Kexin Huang
Marinka Zitnik
291
182
0
14 Jun 2020
Calendar Graph Neural Networks for Modeling Time Structures in
  Spatiotemporal User Behaviors
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User BehaviorsKnowledge Discovery and Data Mining (KDD), 2020
Ziyu Zhao
Meng Jiang
Munira Syed
Oliver Conway
Vishal Juneja
Sriram Subramanian
Nitesh Chawla
AI4TS
103
40
0
11 Jun 2020
Previous
123...15161718
Next