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Big Claims, Small Margins: Do Reported GraphLLM Gains Survive Simple Baselines?

arXiv:2610.28714v1 Announce Type: new Abstract: LLM-based methods for node classification on text-attributed graphs (TAGs) routinely report state-of-the-art accuracy. We ask how these results compare with inexpensive baselines run on the same splits. On the splits of three recent studies, we tune f…

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  1. 2026-10-22 04:00 · arXiv cs.LG
    Big Claims, Small Margins: Do Reported GraphLLM Gains Survive Simple Baselines?

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