Author

Youyong Kong

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Sep 2026

Generalizing on Diverse Shifts: A Unified Topology-Aware Reweighting Algorithm for Graphs.

Graph Neural Networks (GNNs) have achieved strong performance in node classification, yet their performance often drops when facing graph distribution shifts between training and testing nodes. Existing methods have been explored to improve generalization under such shifts. However, many of them either rely on environm...

Jia-Xing Li, Jia-Shuo Liu, Wei-Huang Zheng et al. · IEEE Transactions on Pattern... · 0 citations

#machine learning Preprint Sep 2026

Learning from Failures: Heterogeneous Graph Memory for Small Language Model Tool-Using Agents

This paper proposes FRESH, a Failure-aware Retrieval framework over Experience-Structured Heterogeneous graphs, which transforms historical successes and failures into structured external experience for tool-using agents and consistently improves task success and tool-use reliability over no-memory agents and represent...

Jia-Xing Li, Lei Song, Rui Dong et al. · 0 citations

Jul 2026

E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios

E-Bench is introduced, a fully synthetic benchmark with 323 state-changing tasks across three product domains: Honor of Kings, QQ Music, and Tencent Meeting, and it shows that multi-step tool use remains challenging: Pass^3 stays below 60% for the strongest models, and even with code execution in the E-Bench-Code exten...

Weihuang Zheng, Tianyuan Zou, Eileen Ye et al. · arXiv.org · 1 citation