Enhancing Graph Contrastive Learning with Node Similarity. - Hongliang Chi; Yao Ma 001 (CoRR, 2022)

Enhancing Contrastive Learning on Graphs with Node Similarity. - Hongliang Chi; Yao Ma 001 (KDD, 2024)

Active Learning for Graphs with Noisy Structures. - Hongliang Chi; Cong Qi; Suhang Wang; Yao Ma 001 (SDM, 2024)

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. - Qian Ma 012; Hongliang Chi; Hengrui Zhang; Kay Liu; Zhiwei Zhang; Lu Cheng 001; Suhang Wang; Philip S. Yu; Yao Ma 001 (CoRR, 2024)

Precedence-Constrained Winter Value for Effective Graph Data Valuation. - Hongliang Chi; Wei Jin 009; Charu C. Aggarwal; Yao Ma 001 (ICLR, 2025)

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation. - Hongliang Chi; Qiong Wu 008; Zhengyi Zhou; Yao Ma 001 (ICLR, 2025)

Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making. - Hongliang Chi; Qiong Wu 008; Zhengyi Zhou; Jonathan Light; Emily Dodwell; Yao Ma 001 (CoRR, 2025)

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking. - Liangliang Zhang; Zhuorui Jiang; Hongliang Chi; Haoyang Chen; Mohammed Elkoumy; Fali Wang; Qiong Wu 008; Zhengyi Zhou; Shirui Pan; Suhang Wang; Yao Ma 001 (CoRR, 2025)