(* Corresponding Author; # Equal Contribution)
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| [24] | Tianming Zhang, Junkai Fang, Zhengyi Yang, Bin Cao, and Jing Fan. Tatkc: A temporal graph neural network for fast approximate temporal katz centrality ranking. In Proceedings of the ACM on Web Conference 2024 (WWW), WWW '24, pages 527–538, New York, NY, USA, 2024. Association for Computing Machinery. [ bib | DOI | http | Abstract ] |
| [23] | Tianming Zhang, Yunjun Gao, Jie Zhao, Lu Chen, Lu Jin, Zhengyi Yang, Bin Cao, and Jing Fan. Efficient exact and approximate betweenness centrality computation for temporal graphs. In Proceedings of the ACM on Web Conference 2024 (WWW), WWW '24, pages 2395–2406, New York, NY, USA, 2024. Association for Computing Machinery. [ bib | DOI | http | Abstract ] |
| [22] | Lingbo Li, Zhichun Li, Fusen Guo, Haoyu Yang, Jingtian Wei, and Zhengyi Yang. Prototype comparison convolutional networks for one-shot segmentation. IEEE Access, 12:54978–54990, 2024. [ bib | DOI | Abstract ] |
| [21] | Tianming Zhang, Xinwei Cai, Lu Chen, Zhengyi Yang, Yunjun Gao, Bin Cao, and Jing Fan. Towards efficient simulation-based constrained temporal graph pattern matching. World Wide Web, 27(3):22, 2024. [ bib | DOI | http | Abstract ] |
| [20] | Sai Li, Peng Kou, Miao Ma, Haoyu Yang, Shuo Huang, and Zhengyi Yang. Application of semi-supervised learning in image classification: Research on fusion of labeled and unlabeled data. IEEE Access, 12:27331–27343, 2024. [ bib | DOI | Abstract ] |
| [19] | Wenqian Zhang, Zhengyi Yang*, Dong Wen, and Xiaoyang Wang. Efficient distributed core graph decomposition. In 2023 IEEE International Conference on Data Mining Workshops (ICDMW), pages 1023–1031, 2023. [ bib | DOI | Abstract ] |
| [18] | Liuyi Chen, Bocheng Han, Xuesong Wang, Jiazhen Zhao, Wenke Yang, and Zhengyi Yang*. Machine learning methods in weather and climate applications: A survey. Applied Sciences, 13(21), 2023. [ bib | DOI | http | Abstract ] |
| [17] | Miao Ma, Zhengyi Yang*, Kongzhang Hao, Liuyi Chen, Chunling Wang, and Yi Jin. An empirical analysis of just-in-time compilation in modern databases. In Australasian Database Conference (ADC), pages 227–240. Springer Nature Switzerland, 2023. [ bib | DOI | http | Abstract ] |
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| [14] | Kongzhang Hao, Long Yuan, Zhengyi Yang, Wenjie Zhang, and Xuemin Lin. Efficient and scalable distributed graph structural clustering at billion scale. In International Conference on Database Systems for Advanced Applications (DASFAA), pages 234–251, Cham, 2023. Springer Nature Switzerland. [ bib | DOI | http | Abstract ] |
| [13] | Zhengyi Yang, Wenjie Zhang, Xuemin Lin*, Ying Zhang, and Shunyang Li. Hgmatch: A match-by-hyperedge approach for subgraph matching on hypergraphs. In 2023 IEEE 39th International Conference on Data Engineering (ICDE), pages 2063–2076, 2023. [ bib | DOI | Abstract ] |
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| [2] | Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, and Jingren Zhou. Distributed subgraph matching on timely dataflow. In Proc. VLDB Endow. (VLDB), volume 12, pages 1099–1112. VLDB Endowment, 2019. [ bib | DOI | http | Abstract ] |
| [1] | Zhengmin Lai, Zhengyi Yang, and Longbin Lai. Improving distributed subgraph matching algorithm on timely dataflow. In 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), pages 266–273, 2019. [ bib | DOI | Abstract ] |
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