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Recently, much exertion has been paid to design graph self-supervised methods to obtain generalized pre-trained models, and adapt pre-trained models onto downstream tasks through fine-tuning.
Sun, F.-Y.; Hoffmann, J.; Verma, V.; and Tang, J. 2019 · 1908
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Semi-Supervised Classification with Graph Convolutional Networks
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Self-supervised Learning on Graphs: Contrastive, Generative, or Predictive
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