Graph Self-Supervised Learning: A Survey
Deep learning on graphs has attracted significant interests recently. However, most of the works have focused on (semi-) supervised learning, resulting in shortcomings including heavy label reliance, poor generalization, and weak robustness. To address these issues, self-supervised learning (SSL), w...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE Computer Society
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |