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Preprint Aug 2026

GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks

GABench is introduced, a comprehensive benchmark for agentic graph analysis that covers four graph analysis task categories: graph retrieval, graph theory, graph machine learning, and graph open-ended question answering and provides practical insights into the development and evaluation of LLM agents for graph analysis.

Jiarui Tan, Zhongjian Zhang, YaBo Guo et al. · 0 citations