Publications

Peilun Yang, Hanchen Wang, Jianye Yang, Zhengping Qian, Ying Zhang, Xuemin Lin (2024). Deep Learning Approaches for Similarity Computation: A Survey. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024.

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Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang (2024). Bipartite Graph Analytics: Current Techniques and Future Trends. ICDE ‘24.

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Guangxin Su, Hanchen Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin (2024). Simple and Deep Graph Attention Networks. KBS ‘24.

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Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster (2024). STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. Arxiv.

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Xulu Gong, Hanchen Wang, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Ying Zhang (2024). Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation. IPM ‘24.

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Jianke Yu, Xianhang Zhang, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang (2023). FPGN: follower prediction framework for infectious disease prevention. World Wide Web 2023.

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Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang (2023). Group-based Fraud Detection Network on e-Commerce Platforms. KDD ‘23.

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Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin (2023). Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.

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Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin (2023). Neural Similarity Search on Supergraph Containment. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.

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Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang (2022). TMN: Trajectory Matching Networks for Learning Similarity Computation. ICDE ‘22.

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Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang (2022). Neural Subgraph Counting with Wasserstein Estimator. SIGMOD ‘22.

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Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin (2022). Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. ICDE ‘22.

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Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang (2022). Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs. World Wide Web 2022.

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Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang (2022). Bipartite Graph Capsule Network. World Wide Web 2022.

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Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang (2021). Powerful Graph of Graphs Neural Network for Structured Entity Analysis. World Wide Web 2021.

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Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin (2021). Binarized Graph Neural Network. World Wide Web 2021.

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Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin (2021). T3S: Effective Representation Learning for Trajectory Similarity Computation. ICDE ‘21.

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Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin, Xuemin Lin (2020). EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search. The VLDB Journal 2020.

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Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin (2020). GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI ‘20.

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Wanqi Liu, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang (2020). I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space. Database Systems for Advanced Applications 2020.

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Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang (2019). Skyline Nearest Neighbor Search on Multi-layer Graphs. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW).

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Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin (2019). I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space. 2019 IEEE 35th International Conference on Data Engineering (ICDE).

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