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2003.01604
Cited By
Self-Supervised Graph Representation Learning via Global Context Prediction
3 March 2020
Zhen Peng
Yixiang Dong
Minnan Luo
Xiao-Ming Wu
Q. Zheng
SSL
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Papers citing
"Self-Supervised Graph Representation Learning via Global Context Prediction"
50 / 66 papers shown
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Zixu Wang
Bingbing Xu
Yige Yuan
Huawei Shen
Xueqi Cheng
333
4
0
07 May 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
714
0
0
17 Jan 2025
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
Knowledge Discovery and Data Mining (KDD), 2024
Xinyi Gao
Yayong Li
Tong Chen
Guanhua Ye
Feiyu Xiong
Hongzhi Yin
547
7
0
26 Nov 2024
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Jiadong Feng
Wei Li
Suhuang Wu
Zhao Wei
Yong Xu
Juhong Wang
Hui Li
229
3
0
18 Aug 2024
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
Zongyue Qin
Yunsheng Bai
Atefeh Sohrabizadeh
Zijian Ding
Ziniu Hu
Yizhou Sun
Jason Cong
444
12
0
13 Jun 2024
Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities
Sai Munikoti
Ian Stewart
Sameera Horawalavithana
Henry Kvinge
Tegan H. Emerson
Sandra E Thompson
Karl Pazdernik
307
5
0
08 Jun 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
398
56
0
20 May 2024
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang
Haixin Wang
Cheng Long
Liangcai Su
Xingwei He
...
Tailin Wu
Hongzhi Yin
Siu-Ming Yiu
Qi Tian
Christian S. Jensen
AI4TS
272
15
0
15 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
473
12
0
07 May 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Tianyu Fan
Lirong Wu
Yufei Huang
Haitao Lin
Cheng Tan
Zhangyang Gao
Stan Z. Li
306
4
0
03 Mar 2024
A Graph is Worth
K
K
K
Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao
Daize Dong
Cheng Tan
Jun Xia
Bozhen Hu
Stan Z. Li
375
9
0
04 Feb 2024
A Survey of Data-Efficient Graph Learning
Wei Ju
Siyu Yi
Yifan Wang
Qingqing Long
Junyu Luo
Zhiping Xiao
Ming Zhang
GNN
581
36
0
01 Feb 2024
Graph Multi-Similarity Learning for Molecular Property Prediction
Hao Xu
Zhengyang Zhou
Pengyu Hong
401
3
0
31 Jan 2024
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
AAAI Conference on Artificial Intelligence (AAAI), 2024
Q. Hu
Qian Wang
Yu Wang
Jialu Li
Qinghua Hu
250
19
0
12 Jan 2024
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Yunsheng Bai
Atefeh Sohrabizadeh
Zongyue Qin
Ziniu Hu
Luke Huan
Jason Cong
447
1
0
18 May 2023
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Yingxi Chen
Siwei Qiang
Mingming Ha
Xiaolei Liu
Shaoshuai Li
Lingfeng Yuan
Xiaobo Guo
Zheng Hua Zhu
273
6
0
30 Nov 2022
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath
Applied Soft Computing (ASC), 2022
Shuai Ma
Jian-wei Liu
Xin Zuo
SSL
205
7
0
09 Sep 2022
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
358
0
0
30 Jan 2022
Dual Space Graph Contrastive Learning
The Web Conference (WWW), 2022
Haoran Yang
Hongxu Chen
Shirui Pan
Lin Li
Philip S. Yu
Guandong Xu
194
58
0
19 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Xiaoqi Wang
Yingjie Cheng
Yaning Yang
Yue Yu
Fei Li
Shaoliang Peng
214
62
0
12 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations
Web Search and Data Mining (WSDM), 2022
Yuning You
Tianlong Chen
Zinan Lin
Yang Shen
SSL
265
75
0
04 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Web Search and Data Mining (WSDM), 2022
Enyan Dai
Wei Jin
Hui Liu
Suhang Wang
NoLa
406
126
0
01 Jan 2022
Network representation learning: A macro and micro view
AI Open (AO), 2021
Xueyi Liu
Jie Tang
GNN
AI4TS
267
29
0
21 Nov 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
IEEE Transactions on Big Data (TBD), 2021
Ziyue Qiao
Yanjie Fu
Pengyang Wang
Meng Xiao
Zhiyuan Ning
Denghui Zhang
Yi Du
Yuanchun Zhou
235
15
0
08 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
371
51
0
24 Aug 2021
Adaptive Transfer Learning on Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2021
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
349
65
0
19 Jul 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Shanshan Wang
Sudipta Singha Roy
Zhumin Chen
Zhaochun Ren
Huasheng Liang
Qiang Yan
Evangelos Kanoulas
Maarten de Rijke
216
8
0
29 Jun 2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan. Z. Li
SSL
249
55
0
21 Jun 2021
Graph Contrastive Learning Automated
International Conference on Machine Learning (ICML), 2021
Yuning You
Tianlong Chen
Yang Shen
Zinan Lin
530
598
0
10 Jun 2021
Automated Self-Supervised Learning for Graphs
International Conference on Learning Representations (ICLR), 2021
Wei Jin
Xiaorui Liu
Xiangyu Zhao
Yao Ma
Neil Shah
Shucheng Zhou
SSL
459
95
0
10 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Knowledge Discovery and Data Mining (KDD), 2021
Mengying Sun
Jing Xing
Huijun Wang
Bin Chen
Jiayu Zhou
364
148
0
05 Jun 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan.Z.Li
SSL
381
313
0
16 May 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Tianjin Huang
Yulong Pei
Vlado Menkovski
Mykola Pechenizkiy
278
48
0
16 Apr 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jiaye Teng
Weiran Huang
Haowei He
SSL
266
14
0
05 Mar 2021
Graph Self-Supervised Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
492
707
0
27 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
760
395
0
22 Feb 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2020
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
463
425
0
30 Nov 2020
Contrastive Self-supervised Learning for Graph Classification
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jiaqi Zeng
P. Xie
SSL
313
175
0
13 Sep 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin
Hanyu Wang
Haochen Liu
Yiqi Wang
Suhang Wang
Zitao Liu
Shucheng Zhou
SSL
270
197
0
17 Jun 2020
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
839
2,083
0
15 Jun 2020
Self-Supervised Dialogue Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Jiawei Wu
Xin Eric Wang
William Yang Wang
SSL
201
64
0
30 Jun 2019
Attributed Graph Clustering via Adaptive Graph Convolution
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Xiaotong Zhang
Han Liu
Qimai Li
Xiao-Ming Wu
GNN
236
339
0
04 Jun 2019
GMNN: Graph Markov Neural Networks
International Conference on Machine Learning (ICML), 2019
Meng Qu
Yoshua Bengio
Jian Tang
BDL
GNN
437
314
0
15 May 2019
Graph Wavelet Neural Network
Bingbing Xu
Huawei Shen
Qi Cao
Yunqi Qiu
Xueqi Cheng
GNN
289
387
0
12 Apr 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels
AAAI Conference on Artificial Intelligence (AAAI), 2019
Ke Sun
Zhouchen Lin
Zhanxing Zhu
SSL
365
301
0
28 Feb 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
588
1,943
0
16 Feb 2019
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Conference on Robot Learning (CoRL), 2018
Eric Jang
Coline Devin
Vincent Vanhoucke
Sergey Levine
SSL
271
117
0
16 Nov 2018
Deep Graph Infomax
International Conference on Learning Representations (ICLR), 2018
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
678
2,890
0
27 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
281
540
0
14 Sep 2018
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
427
324
0
28 Mar 2018
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