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News/Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression
arxiv
PublishedJuly 1, 2026 at 4:00 AM
—neutral

Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression

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arXiv:2601.08187v3 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated promising capabilities in Text-Attributed Graph (TAG) understanding. Recent studies typically focus on verbalizing the graph structures via handcrafted prompts, feeding the target node and its neighbor

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