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most citedA Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

87 citations · 143 across the 13 of their papers we have counts for

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cs.AI2026

EvalBuilder: Can LLMs Build Efficient Benchmarks?

Huaisheng Zhu, Hangfan Zhang, Teng Xiao +5

Large language model (LLM) agents are increasingly used for long-horizon research and engineering, yet evaluating these capabilities remains expensive, time-consuming, and heavily…