| GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions H Wang, D Lian, Y Zhang, L Qin, X Lin Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 88 | 2020 |
| T3s: Effective representation learning for trajectory similarity computation P Yang, H Wang, Y Zhang, L Qin, W Zhang, X Lin 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2183-2188, 2021 | 83 | 2021 |
| I-LSH: I/O efficient c-approximate nearest neighbor search in high-dimensional space W Liu, H Wang, Y Zhang, W Wang, L Qin 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1670-1673, 2019 | 54 | 2019 |
| Binarized graph neural network H Wang, D Lian, Y Zhang, L Qin, X He, Y Lin, X Lin World Wide Web 24, 825-848, 2021 | 33 | 2021 |
| Group-based fraud detection network on e-commerce platforms J Yu, H Wang, X Wang, Z Li, L Qin, W Zhang, J Liao, Y Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 25 | 2023 |
| Neural subgraph counting with Wasserstein estimator H Wang, R Hu, Y Zhang, L Qin, W Wang, W Zhang Proceedings of the 2022 International Conference on Management of Data, 160-175, 2022 | 25 | 2022 |
| Powerful graph of graphs neural network for structured entity analysis H Wang, D Lian, W Liu, D Wen, C Chen, X Wang World Wide Web 25 (2), 609-629, 2022 | 24 | 2022 |
| Reinforcement learning based query vertex ordering model for subgraph matching H Wang, Y Zhang, L Qin, W Wang, W Zhang, X Lin 2022 IEEE 38th International Conference on Data Engineering (ICDE), 245-258, 2022 | 23 | 2022 |
| TMN: Trajectory matching networks for predicting similarity P Yang, H Wang, D Lian, Y Zhang, L Qin, W Zhang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1700-1713, 2022 | 22 | 2022 |
| EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search W Liu, H Wang, Y Zhang, W Wang, L Qin, X Lin The VLDB Journal 30, 215-235, 2021 | 19 | 2021 |
| Polarity-based graph neural network for sign prediction in signed bipartite graphs X Zhang, H Wang, J Yu, C Chen, X Wang, W Zhang World Wide Web 25 (2), 471-487, 2022 | 18 | 2022 |
| Stg-mamba: Spatial-temporal graph learning via selective state space model L Li, H Wang, W Zhang, A Coster arXiv preprint arXiv:2403.12418, 2024 | 17 | 2024 |
| Bipartite graph capsule network X Zhang, H Wang, J Yu, C Chen, X Wang, W Zhang World Wide Web 26 (1), 421-440, 2023 | 14 | 2023 |
| Simple and deep graph attention networks G Su, H Wang, Y Zhang, W Zhang, X Lin Knowledge-Based Systems 293, 111649, 2024 | 7 | 2024 |
| Influence maximization on hypergraphs via multi-hop influence estimation X Gong, H Wang, X Wang, C Chen, W Zhang, Y Zhang Information Processing & Management 61 (3), 103683, 2024 | 7 | 2024 |
| Neural similarity search on supergraph containment H Wang, J Yu, X Wang, C Chen, W Zhang, X Lin IEEE Transactions on Knowledge and Data Engineering 36 (1), 281-295, 2023 | 6 | 2023 |
| FPGN: follower prediction framework for infectious disease prevention J Yu, X Zhang, H Wang, X Wang, W Zhang, Y Zhang World Wide Web 26 (6), 3795-3814, 2023 | 4 | 2023 |
| Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions H Chen, H Wang, H Chen, Y Zhang, W Zhang, X Lin IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| I/O efficient algorithm for c-approximate furthest neighbor search in high-dimensional space W Liu, H Wang, Y Zhang, L Qin, W Zhang International Conference on Database Systems for Advanced Applications, 221-236, 2020 | 3 | 2020 |
| Skyline nearest neighbor search on multi-layer graphs W Liu, D Wen, H Wang, F Zhang, X Wang 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW …, 2019 | 3 | 2019 |
Wenjie ZhangProfessor of Computer Science and Engineering, University of New South WalesE-mail confirmado em cse.unsw.edu.au