作者位次 #2/4ACL 2026Findings· Findings of ACL
Exploring Graph Learning Tasks with Pure LLM s: A Comprehensive Benchmark and Investigation
Yuxiang Wang · Xinnan Dai · Wenqi Fan · Yao Ma
摘要
In recent years, large language models (LLMs) have emerged as promising candidates for graph tasks. Many studies leverage natural language to describe graphs and apply LLMs for reasoning, yet most focus narrowly on performance benchmarks without fully comparing LLMs to graph learning models or ex...