TSA improves few- and zero-shot node classification on text-attributed graphs by matching nodes to similar texts and contrasting learnable negative prompts.
Momentum contrast for un- supervised visual representation learning
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Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
TSA improves few- and zero-shot node classification on text-attributed graphs by matching nodes to similar texts and contrasting learnable negative prompts.