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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
GMLP: Building Scalable and Flexible Graph Neural Networks with
  Feature-Message Passing
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
Wentao Zhang
Yu Shen
Zheyu Lin
Yan Zhao
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
149
9
0
20 Apr 2021
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia RecommendationACM Multimedia (ACM MM), 2021
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
283
309
0
19 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval
Fragkiskos D. Malliaros
FAtt
256
116
0
18 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural
  Networks
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
490
134
0
16 Apr 2021
Generative Causal Explanations for Graph Neural Networks
Generative Causal Explanations for Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2021
Wanyu Lin
Hao Lan
Baochun Li
CML
215
204
0
14 Apr 2021
Probing Negative Sampling Strategies to Learn GraphRepresentations via
  Unsupervised Contrastive Learning
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
Shiyi Chen
Ziao Wang
Xinni Zhang
Xiaofeng Zhang
Dan Peng
SSL
129
1
0
13 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes
Edgeless-GNN: Unsupervised Representation Learning for Edgeless NodesIEEE Transactions on Emerging Topics in Computing (TETC), 2021
Yong-Min Shin
Cong Tran
Won-Yong Shin
Xin Cao
SSL
216
7
0
12 Apr 2021
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing
  Platforms
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms
Ao Zhou
Jianlei Yang
Yeqi Gao
Tong Qiao
Yingjie Qi
Xiaoyi Wang
Yunli Chen
Pengcheng Dai
Weisheng Zhao
Chunming Hu
GNN
141
10
0
07 Apr 2021
Less is More: Accelerating Faster Neural Networks Straight from JPEG
Less is More: Accelerating Faster Neural Networks Straight from JPEGIberoamerican Congress on Pattern Recognition (CIARP), 2021
Samuel Felipe dos Santos
Davide Modolo
124
13
0
01 Apr 2021
Contextual Scene Augmentation and Synthesis via GSACNet
Contextual Scene Augmentation and Synthesis via GSACNet
Mohammad Keshavarzi
Flaviano Christian Reyes
R. Shrivastava
Oladapo Afolabi
Luisa Caldas
An Yang
3DPC
173
4
0
29 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
Sean Li
Dongwoo Kim
Qing Wang
GNN
167
38
0
26 Mar 2021
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a
  Modular Graph Neural Network Architecture
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network ArchitectureIEEE International Conference on Robotics and Automation (ICRA), 2021
Ryan Kortvelesy
Amanda Prorok
333
27
0
24 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure
  and Context
Language-Agnostic Representation Learning of Source Code from Structure and ContextInternational Conference on Learning Representations (ICLR), 2021
Daniel Zügner
Tobias Kirschstein
Michele Catasta
J. Leskovec
Stephan Günnemann
213
130
0
21 Mar 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
C. Connell
Yangkun Wang
134
0
0
12 Mar 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification ExtrapolationsInternational Conference on Machine Learning (ICML), 2021
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
355
120
0
08 Mar 2021
The KL-Divergence between a Graph Model and its Fair I-Projection as a
  Fairness Regularizer
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer
Maarten Buyl
T. D. Bie
269
27
0
02 Mar 2021
Meta-Learning with Graph Neural Networks: Methods and Applications
Meta-Learning with Graph Neural Networks: Methods and ApplicationsSIGKDD Explorations (SIGKDD Explor.), 2021
Debmalya Mandal
Sourav Medya
Brian Uzzi
Charu C. Aggarwal
AI4CE
422
26
0
27 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing
  Graph Convolutional Networks
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Haimin Zhang
Min Xu
Guoqiang Zhang
Kenta Niwa
153
13
0
20 Feb 2021
Link Prediction with Persistent Homology: An Interactive View
Link Prediction with Persistent Homology: An Interactive ViewInternational Conference on Machine Learning (ICML), 2021
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
169
55
0
20 Feb 2021
Principled Simplicial Neural Networks for Trajectory Prediction
Principled Simplicial Neural Networks for Trajectory PredictionInternational Conference on Machine Learning (ICML), 2021
T. Roddenberry
Nicholas Glaze
Santiago Segarra
3DPC
370
107
0
19 Feb 2021
Fast Graph Learning with Unique Optimal Solutions
Fast Graph Learning with Unique Optimal Solutions
Sami Abu-El-Haija
V. Crespi
Greg Ver Steeg
Aram Galstyan
306
0
0
17 Feb 2021
A Hidden Challenge of Link Prediction: Which Pairs to Check?
A Hidden Challenge of Link Prediction: Which Pairs to Check?Knowledge and Information Systems (KAIS), 2020
Caleb Belth
Alican Büyükçakır
Danai Koutra
145
3
0
15 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting
  Business Processes
A Comparison of Deep-Learning Methods for Analysing and Predicting Business ProcessesIEEE International Joint Conference on Neural Network (IJCNN), 2021
Ishwar Venugopal
Jessica Töllich
Michael Fairbank
A. Scherp
138
35
0
11 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition
Mask-GVAE: Blind Denoising Graphs via PartitionThe Web Conference (WWW), 2021
Jia Li
Mengzhou Liu
Honglei Zhang
Pengyun Wang
Yong Wen
Lujia Pan
Hong Cheng
183
10
0
08 Feb 2021
Understanding Higher-order Structures in Evolving Graphs: A Simplicial
  Complex based Kernel Estimation Approach
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
Manohar Kaul
Masaaki Imaizumi
113
1
0
06 Feb 2021
Reinforced Contact Tracing and Epidemic Intervention
Reinforced Contact Tracing and Epidemic Intervention
Tao Feng
Sirui Song
Tong Xia
Yong Li
67
3
0
04 Feb 2021
LinkLouvain: Link-Aware A/B Testing and Its Application on Online
  Marketing Campaign
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing CampaignInternational Conference on Database Systems for Advanced Applications (DASFAA), 2021
Tianchi Cai
Daxi Cheng
Chen Liang
Ziqi Liu
Lihong Gu
Huizhi Xie
Qing Cui
Xiaodong Zeng
Jinjie Gu
71
3
0
03 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models
GraphEBM: Molecular Graph Generation with Energy-Based Models
Meng Liu
Keqiang Yan
Bora Oztekin
Shuiwang Ji
189
99
0
31 Jan 2021
Post-OCR Paragraph Recognition by Graph Convolutional Networks
Post-OCR Paragraph Recognition by Graph Convolutional NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Renshen Wang
Yasuhisa Fujii
Ashok Popat
GNN
226
23
0
29 Jan 2021
Identity-aware Graph Neural Networks
Identity-aware Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021
Jiaxuan You
Jonathan M. Gomes-Selman
Rex Ying
J. Leskovec
265
287
0
25 Jan 2021
Learning Parametrised Graph Shift Operators
Learning Parametrised Graph Shift OperatorsInternational Conference on Learning Representations (ICLR), 2021
George Dasoulas
J. Lutzeyer
Michalis Vazirgiannis
OOD
248
24
0
25 Jan 2021
Marius: Learning Massive Graph Embeddings on a Single Machine
Marius: Learning Massive Graph Embeddings on a Single MachineUSENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
J. Mohoney
R. Waleffe
Yiheng Xu
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
265
69
0
20 Jan 2021
Communication-Efficient Sampling for Distributed Training of Graph
  Convolutional Networks
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
Peng Jiang
Masuma Akter Rumi
GNN
69
8
0
19 Jan 2021
Understanding in Artificial Intelligence
Understanding in Artificial Intelligence
S. Maetschke
D. M. Iraola
Pieter Barnard
Elaheh Shafieibavani
Peter Zhong
Ying Xu
Antonio Jimeno Yepes
ELMVLM
188
0
0
17 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
GraphHop: An Enhanced Label Propagation Method for Node ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jia Zhang
Bin Wang
C.-C. Jay Kuo
191
47
0
07 Jan 2021
Community Preserved Social Graph Publishing with Node Differential
  Privacy
Community Preserved Social Graph Publishing with Node Differential PrivacyIndustrial Conference on Data Mining (IDM), 2020
Sen Zhang
Weiwei Ni
Nan Fu
207
23
0
05 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
448
709
0
04 Jan 2021
Adaptive Graph Diffusion Networks
Adaptive Graph Diffusion Networks
Chuxiong Sun
Jie Hu
Hongming Gu
Jinpeng Chen
Junchi Yan
GNNDiffMAI4CE
181
14
0
30 Dec 2020
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Le Yu
Leilei Sun
Bowen Du
Chuanren Liu
Weifeng Lv
Hui Xiong
117
15
0
29 Dec 2020
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
GAHNE: Graph-Aggregated Heterogeneous Network EmbeddingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020
Xiaohe Li
Lijie Wen
Chen Qian
Jianmin Wang
81
5
0
23 Dec 2020
Communicative Message Passing for Inductive Relation Reasoning
Communicative Message Passing for Inductive Relation ReasoningAAAI Conference on Artificial Intelligence (AAAI), 2020
Sijie Mai
Shuangjia Zheng
Yuedong Yang
Haifeng Hu
LRM
281
125
0
16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
615
166
0
16 Dec 2020
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural
  Networks
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Yuhang Yao
Carlee Joe-Wong
GNN
279
26
0
16 Dec 2020
Hierarchical Graph Capsule Network
Hierarchical Graph Capsule NetworkAAAI Conference on Artificial Intelligence (AAAI), 2020
Jinyu Yang
P. Zhao
Yu Rong
Chao-chao Yan
Chunyuan Li
Hehuan Ma
Junzhou Huang
295
35
0
16 Dec 2020
Adversarial Permutation Guided Node Representations for Link Prediction
Adversarial Permutation Guided Node Representations for Link PredictionAAAI Conference on Artificial Intelligence (AAAI), 2020
Indradyumna Roy
A. De
Soumen Chakrabarti
248
17
0
13 Dec 2020
Neural Online Graph Exploration
Neural Online Graph Exploration
Ioannis Chiotellis
Zorah Lähner
131
2
0
06 Dec 2020
Counting Substructures with Higher-Order Graph Neural Networks:
  Possibility and Impossibility Results
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results
B. Tahmasebi
Derek Lim
Stefanie Jegelka
GNN
316
31
0
06 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
384
24
0
02 Dec 2020
Unsupervised Constrained Community Detection via Self-Expressive Graph
  Neural Network
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural NetworkConference on Uncertainty in Artificial Intelligence (UAI), 2020
S. Bandyopadhyay
Vishal Peter
SSL
147
14
0
28 Nov 2020
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph
  Pooling Fusion
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion
Sijie Mai
Songlong Xing
Jiaxuan He
Ying Zeng
Haifeng Hu
GNN
234
24
0
27 Nov 2020
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