PatentsNET: Graph-Based Pretraining for Patent Analytics

Zhitao Yin, Yi Yang, Zhuoyi Peng, Zhenghan Zhang

Working paper. Major revision at MIS Quarterly Major Revision

The first graph-pretraining framework for large-scale patent networks.

Federated Meta Embedding Concept Stock Recommendation

Zhuoyi Peng, Yi Yang, Liu Yang, Kai Chen

IEEE Transactions on Big Data (TBD) 2024

A federated learning solution for financial analytics.

[IEEE Xplore]

Agentic Graph Token Reasoning

Zhuoyi Peng, Yi Yang

Preprint. arXiv preprint 2026

A state-of-the-art graph-native agent for graph analysis, featuring token-robust graph-LLM alignment, trajectory SFT, and preference optimization.

[arXiv]

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs

Zhuoyi Peng, Jingzhou Jiang, Hanlin Gu, Lixin Fan, Yi Yang

Preprint. arXiv preprint 2026

The first comprehensive benchmark for graph-LLM inference.

[arXiv]

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching

Zhuoyi Peng, Hanlin Gu, Lixin Fan, Yi Yang

Annual Conference on Neural Information Processing Systems (NeurIPS) 2026

Graph learning with sparse labels through co-teaching-based preference optimization.

[arXiv]