Big claims, small margins: do reported GraphLLM gains survive simple baselines?
Read the original at arxiv.org→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...
Original headline: "Big Claims, Small Margins: Do Reported GraphLLM Gains Survive Simple Baselines?"
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- Oct 22, 04:00 UTC arXiv cs.LG lead source Big Claims, Small Margins: Do Reported GraphLLM Gains Survive Simple Baselines?