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DiscoGNN: A Sample-Efficient Framework for Self-Supervise... | ResearchHub
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DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning
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Authors
Jun Xia
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Jun Xia
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Shaorong Chen
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Stan Li
Published
May 13, 2024
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Topics
Computer Science
Machine Learning
Chemistry
Artificial Intelligence
Computer Vision And Pattern Recognition
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DOI
10.1109/icde60146.2024.00223
