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Self-supervised edge features for improved Graph Neural Network training

Self-supervised edge features for improved Graph Neural Network training

23 June 2020
Arijit Sehanobish
N. Ravindra
David van Dijk
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-supervised edge features for improved Graph Neural Network training"

3 / 3 papers shown
Bringing Your Own View: Graph Contrastive Learning without Prefabricated
  Data Augmentations
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data AugmentationsWeb Search and Data Mining (WSDM), 2022
Yuning You
Tianlong Chen
Zinan Lin
Yang Shen
SSL
272
75
0
04 Jan 2022
Self-supervised Learning on Graphs: Contrastive, Generative,or
  Predictive
Self-supervised Learning on Graphs: Contrastive, Generative,or PredictiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan.Z.Li
SSL
396
316
0
16 May 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
509
723
0
27 Feb 2021
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