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20222024
most citedFew-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification

3 citations · 4 across the 3 of their papers we have counts for

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cs.LG2024

Unifying Graph Contrastive Learning via Graph Message Augmentation

Ziyan Zhang, Bo Jiang, Jin Tang +1

Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that…