A self-supervised graph learning method jointly learns feature and topology augmentations from the data, reducing reliance on hand-crafted augmentations.
Chawla, and Ananthram Swami, ‘Metapath2vec: Scalable representation learning for heterogeneous networks’, inProceedings of the 23rd ACM SIGKDD, KDD ’17, p
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Data-Driven Self-Supervised Graph Representation Learning
A self-supervised graph learning method jointly learns feature and topology augmentations from the data, reducing reliance on hand-crafted augmentations.