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Remark: ¹ indicates co-first authors, * indicates corresponding author

ℹ️ Publications are listed by category in reverse chronological order. Copyright and all associated rights remain with the authors or relevant copyright holders (e.g., ACM and IEEE).

2026

📄[SIGMOD-26] Rui Guo¹, Zezhong Ding¹, Xike Xie^*, Jianliang Xu, SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine, Proceedings of the ACM on Management of Data, 2026. (PDF)(Source Code)

2025

📄[ACL-25] Yukun Cao¹, Shuo Han¹, Zengyi Gao, Zezhong Ding, Xike Xie^*, S. Kevin Zhou, GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding, The Annual Meeting of the Association for Computational Linguistics (Main Conference), 2025. (PDF)(Source Code)
📄[SIGMOD-25] Yongan Xiang¹, Zezhong Ding¹, Rui Guo, Shangyou Wang, Xike Xie^*, S. Kevin Zhou, Capsule: an Out-of-Core Training Mechanism for Colossal GNNs, Proceedings of the ACM on Management of Data 3 (1), 2025. (PDF) (Source Code) (Press Release)
📄[TC-25] Zezhong Ding¹, Deyu Kong¹, Zhuoxu Zhang, Xike Xie^*, Jianliang Xu, ClusPar: A Game-Theoretic Approach for Efficient and Scalable Streaming Edge Partitioning, IEEE Transactions on Computers 74 (1), 2025. (PDF) (Source Code)

2024

📄[SIGMOD-24] Zezhong Ding, Yongan Xiang, Shangyou Wang, Xike Xie^*, S. Kevin Zhou, Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning, Proceedings of the ACM on Management of Data 2 (3), 2024. (PDF) (Source Code) (Slides) (Press Release)