Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1802.09691
Cited By
v1
v2
v3 (latest)
Link Prediction Based on Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2018
27 February 2018
Muhan Zhang
Yixin Chen
GNN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Link Prediction Based on Graph Neural Networks"
50 / 883 papers shown
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Helen Zhou
Zinan Lin
AAML
GNN
178
72
0
24 Aug 2021
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy
International Conference on Information and Knowledge Management (CIKM), 2021
Chitrank Gupta
Yash Jain
A. De
Soumen Chakrabarti
AI4CE
164
9
0
23 Aug 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
Jiaming Mu
Binghui Wang
Qi Li
Kun Sun
Mingwei Xu
Zhuotao Liu
AAML
170
47
0
21 Aug 2021
Graph Capsule Aggregation for Unaligned Multimodal Sequences
Jianfeng Wu
Sijie Mai
Haifeng Hu
114
46
0
17 Aug 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
The Web Conference (WWW), 2021
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
332
161
0
11 Aug 2021
Label-informed Graph Structure Learning for Node Classification
International Conference on Information and Knowledge Management (CIKM), 2021
Liping Wang
Fenyu Hu
Shu Wu
Liang Wang
70
0
0
10 Aug 2021
Localized Graph Collaborative Filtering
SDM (SDM), 2021
Yiqi Wang
Chaozhuo Li
Mingzheng Li
Wei Jin
Yuming Liu
Hao Sun
Xing Xie
Shucheng Zhou
154
12
0
10 Aug 2021
Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN)
Machine Learning and Knowledge Extraction (MLKE), 2021
Bahareh Najafi
S. Parsaeefard
A. Leon-Garcia
148
4
0
07 Aug 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Shuangjia Zheng
Sijie Mai
Ya Sun
Haifeng Hu
Yuedong Yang
181
29
0
26 Jul 2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
ACM Conference on Hypertext & Social Media (HT), 2021
Hussain Hussain
Tomislav Duricic
Elisabeth Lex
D. Helic
M. Strohmaier
Roman Kern
AAML
GNN
256
16
0
23 Jul 2021
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
Xuan Kan
Hejie Cui
Y. Guo
Carl Yang
92
6
0
23 Jul 2021
Data Considerations in Graph Representation Learning for Supply Chain Networks
Ajmal Aziz
E. Kosasih
Ryan-Rhys Griffiths
Alexandra Brintrup
157
16
0
22 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2021
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
255
62
0
19 Jul 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN
Shai Ben-Assayag
Ran El-Yaniv
GNN
210
9
0
18 Jul 2021
STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction
Chu-Chih Huang
AI4TS
142
2
0
11 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
169
46
0
10 Jul 2021
Group-Node Attention for Community Evolution Prediction
International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2021
Matt Revelle
C. Domeniconi
Ben U. Gelman
181
3
0
09 Jul 2021
Robust Counterfactual Explanations on Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Mohit Bajaj
Lingyang Chu
Zihui Xue
Jian Pei
Lanjun Wang
P. C. Lam
Yong Zhang
OOD
463
114
0
08 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou
Xiao Shi Huang
Daochen Zha
Rui Chen
Li Li
Soo-Hyun Choi
Helen Zhou
GNN
AI4CE
196
147
0
06 Jul 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction
Xi Chen
Bo Kang
Jefrey Lijffijt
T. D. Bie
AAML
153
2
0
05 Jul 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui
Zijie Lu
Pan Li
Carl Yang
289
100
0
03 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective
Binghui Wang
Jiayi Guo
Ang Li
Yiran Chen
Xue Yang
SSL
158
40
0
03 Jul 2021
Edge Proposal Sets for Link Prediction
Abhay Singh
Qian Huang
Sijia Huang
Omkar Bhalerao
Horace He
Ser-Nam Lim
Austin R. Benson
100
18
0
30 Jun 2021
The Threat of Offensive AI to Organizations
Computers & security (CS), 2021
Yisroel Mirsky
Ambra Demontis
J. Kotak
Ram Shankar
Deng Gelei
Liu Yang
Xinming Zhang
Wenke Lee
Yuval Elovici
Battista Biggio
209
101
0
30 Jun 2021
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
Enyu Yu
Yan Fu
Junlin Zhou
Hong-liang Sun
Duanbing Chen
106
8
0
19 Jun 2021
Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs
A. Peysakhovich
Anna Klimovskaia Susmel
Léon Bottou
GNN
279
0
0
17 Jun 2021
SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods
Hyeoncheol Cho
Youngrock Oh
Eunjoo Jeon
FAtt
66
0
0
16 Jun 2021
Signal processing on simplicial complexes
Michael T. Schaub
Jean-Baptiste Seby
Florian Frantzen
T. Roddenberry
Yu Zhu
Santiago Segarra
235
23
0
14 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du
Tian Bian
Yu Rong
Bo Han
Tongliang Liu
Qifeng Bai
Wenbing Huang
Shouqing Yang
Junzhou Huang
NoLa
236
22
0
14 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Neural Information Processing Systems (NeurIPS), 2021
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
468
430
0
13 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs
Neural Networks (NN), 2021
Seongjun Yun
Minbyul Jeong
Sungdong Yoo
Seunghun Lee
Sean S. Yi
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
137
95
0
11 Jun 2021
Neural Predicting Higher-order Patterns in Temporal Networks
The Web Conference (WWW), 2021
Yunyu Liu
Jianzhu Ma
Pan Li
279
36
0
10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange
International Conference on Information and Knowledge Management (CIKM), 2021
Liang Zeng
Jin Xu
Zijun Yao
Yanqiao Zhu
Jian Li
245
1
0
10 Jun 2021
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Changlin Wan
Muhan Zhang
Weiyu Hao
Sha Cao
Pan Li
Fangqiu Yi
231
15
0
08 Jun 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Computer Vision and Pattern Recognition (CVPR), 2021
Yiding Yang
Zhou Ren
Haoxiang Li
Chunluan Zhou
Xinchao Wang
G. Hua
3DH
176
81
0
07 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
Wei Zhuo
Guang Tan
SSL
295
0
0
07 Jun 2021
On Local Aggregation in Heterophilic Graphs
Hesham Mostafa
Marcel Nassar
Somdeb Majumdar
109
4
0
06 Jun 2021
Learning from Counterfactual Links for Link Prediction
International Conference on Machine Learning (ICML), 2021
Tong Zhao
Gang Liu
Daheng Wang
Wenhao Yu
Meng Jiang
CML
OOD
304
118
0
03 Jun 2021
End-to-End Hierarchical Relation Extraction for Generic Form Understanding
International Conference on Pattern Recognition (ICPR), 2021
Tuan-Anh Dang Nguyen
Duc Thanh Hoang
Q. Tran
Chih-Wei Pan
T. Nguyen
171
14
0
02 Jun 2021
Constructing Flow Graphs from Procedural Cybersecurity Texts
Findings (Findings), 2021
Kuntal Kumar Pal
Kazuaki Kashihara
Pratyay Banerjee
Swaroop Mishra
Ruoyu Wang
Chitta Baral
117
16
0
29 May 2021
Hashing-Accelerated Graph Neural Networks for Link Prediction
The Web Conference (WWW), 2021
Wei Wu
Bin Li
Chuan Luo
Wolfgang Nejdl
GNN
156
49
0
29 May 2021
Learning Graphon Autoencoders for Generative Graph Modeling
Hongteng Xu
P. Zhao
Junzhou Huang
Dixin Luo
GNN
153
5
0
29 May 2021
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation
Xinyi Li
Haibin Ling
ViT
154
4
0
28 May 2021
Motif Prediction with Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2021
Maciej Besta
Raphael Grob
Cesare Miglioli
Nico Bernold
Grzegorz Kwa'sniewski
...
Raghavendra Kanakagiri
Saleh Ashkboos
Lukas Gianinazzi
Nikoli Dryden
Torsten Hoefler
449
44
0
26 May 2021
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zhenyue Qin
Saeed Anwar
Dongwoo Kim
Yang Liu
Pan Ji
Tom Gedeon
195
2
0
24 May 2021
Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding
Yuheng Lu
Jinpeng Chen
Chuxiong Sun
Jie Hu
GNN
103
2
0
09 May 2021
VersaGNN: a Versatile accelerator for Graph neural networks
Feng Shi
Yiqiao Jin
Song-Chun Zhu
GNN
168
19
0
04 May 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Jing Huang
Jie Yang
AI4CE
GNN
236
235
0
03 May 2021
Learning to Cluster Faces via Transformer
Jinxing Ye
Xioajiang Peng
Baigui Sun
Kai Wang
Xiuyu Sun
Hao Li
Hanqing Wu
ViT
139
9
0
23 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
313
12
0
21 Apr 2021
Previous
1
2
3
...
13
14
15
16
17
18
Next
Page 14 of 18
Page
of 18
Go