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Zhongjian Zhang

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#artificial intelligence Preprint Sep 2026

ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models

Zero-shot graph models (ZGMs), which learn transferable knowledge from source graphs and directly apply to unseen target graphs without any adaptation, have achieved promising performance and attracted considerable attention. Despite their proliferation, existing ZGMs are predominantly evaluated on clean graphs, while...

Zhong-Jian Zhang, Xiao Wang, Bu-Sheng Zhang et al. · 0 citations
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, Zhong-Jian Zhang, Yabo Guo et al. · 2 citations

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