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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).
Preprint
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📄[arXiv-25] Shangyou Wang1, Zezhong Ding1, Xike Xie*,
SamGoG: A Sampling-Based Graph-of-Graphs
Framework for Imbalanced Graph Classification.
(PDF)(Code)
2026
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📄[ICML-26] Haokun Liu1, Zezhong Ding1,Xike Xie*, Learning Graph Foundation Models on Riemannian Graph-of-Graphs, Proc. International Conference on Machine Learning (ICML-26), 2026. (PDF)(Code)
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📄[ACL-26-Findings] Shuo Han, Yukun Cao, Zezhong Ding, Zengyi Gao, S. Kevin Zhou, Xike Xie*, See or Say Graphs: Agent-Driven Scalable Graph Understanding with Vision-Language Models, Findings of the Association for Computational Linguistics (ACL-26-Findings), 2026.
(PDF)
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📄[SIGKDD-26] Huhao Guan1, Zezhong Ding1, Ao Ke, Xike Xie*, S. Kevin Zhou,
SIGHP: Scalable Information-Guided Hypergraph Partitioner, Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-26), 2026. (PDF)(Code)
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📄[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 (SIGMOD-26), 2025. (PDF)(Code)
2025
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📄[NeurIPS-25] Jin Li1, Zezhong Ding1, Xike Xie*,
DuetGraph: Coarse-to-Fine Knowledge Graph
Reasoning with Dual-Pathway Global-Local Fusion, Advances in Neural Information Processing Systems (NeurIPS-25), 2025. (PDF)(Code)
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📄[ACL-25] Yukun Cao, Shuo Han, Zengyi Gao, Zezhong Ding, Xike Xie*, S. Kevin Zhou, GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding, Proc. Annual Meeting of the Association for Computational Linguistics (ACL-25), 2025. (PDF)(Code)
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📄[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 (SIGMOD-25), 2025. (PDF)(Code)(Slides)(Press)
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📄[TC-25] Zezhong Ding, Deyu Kong, Zhuoxu Zhang, Xike Xie*, Jianliang Xu,
ClusPar: A Game-Theoretic Approach for Efficient and Scalable Streaming Edge Partitioning, IEEE Transactions on Computers (TC-25), 2025. (PDF)(Code)
2024
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📄[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 (SIGMOD-24), 2024. (PDF)(Code)(Slides)(Press)