Affinity uncertainty-based hard negative mining in graph contrastive learning
Hard negative mining has shown effective in enhancing self-supervised contrastive learning (CL) on diverse data types, including graph CL (GCL). The existing hardness-aware CL methods typically treat negative instances that are most similar to the anchor instance as hard negatives, which helps impro...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8611 https://ink.library.smu.edu.sg/context/sis_research/article/9614/viewcontent/AffinityUncertainity_based_av.pdf |
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Institution: | Singapore Management University |
Language: | English |