STAG quantizes fused graph-structure and text embeddings into discrete tokens from a frozen LLM vocabulary, enabling competitive few-shot and zero-shot node classification with or without an LLM.
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Quantizing Text-attributed Graphs for Semantic-Structural Integration
STAG quantizes fused graph-structure and text embeddings into discrete tokens from a frozen LLM vocabulary, enabling competitive few-shot and zero-shot node classification with or without an LLM.