| A local algorithm for structure-preserving graph cut D Zhou, S Zhang, MY Yildirim, S Alcorn, H Tong, H Davulcu, J He Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 75 | 2017 |
| Attributed network alignment: Problem definitions and fast solutions S Zhang, H Tong IEEE Transactions on Knowledge and Data Engineering 31 (9), 1680-1692, 2018 | 52 | 2018 |
| Balancing consistency and disparity in network alignment S Zhang, H Tong, L Jin, Y Xia, Y Guo Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 39 | 2021 |
| Bright: A bridging algorithm for network alignment Y Yan, S Zhang, H Tong Proceedings of the web conference 2021, 3907-3917, 2021 | 57 | 2021 |
| CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities S Roach, C Ni, A Kopylov, TC Lu, J Xu, S Zhang, B Du, D Zhou, J Wu, ... 2020 IEEE International Conference on Big Data (Big Data), 1634-1643, 2020 | 6 | 2020 |
| Destine: Dense subgraph detection on multi-layered networks Z Xu, S Zhang, Y Xia, L Xiong, J Xu, H Tong Proceedings of the 30th ACM International Conference on Information …, 2021 | 3 | 2021 |
| Do we really need complicated model architectures for temporal networks? W Cong, S Zhang, J Kang, B Yuan, H Wu, X Zhou, H Tong, M Mahdavi arXiv preprint arXiv:2302.11636, 2023 | 62 | 2023 |
| Dynamic transfer learning across graphs H Wang, Y Mao, J Sun, S Zhang, Y Fan, D Zhou arXiv preprint arXiv:2305.00664, 2023 | 5 | 2023 |
| FINAL: Fast Attributed Network Alignment S Zhang, H Tong Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 271 | 2016 |
| First: Fast interactive attributed subgraph matching B Du, S Zhang, N Cao, H Tong Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 60 | 2017 |
| GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily S Zhang, H Wang, S Zhang, D Zhou arXiv preprint arXiv:2306.14340, 2023 | | 2023 |
| Graph convolutional networks: a comprehensive review S Zhang, H Tong, J Xu, R Maciejewski Computational Social Networks 6 (1), 1-23, 2019 | 1149 | 2019 |
| Graph convolutional networks: Algorithms, applications and open challenges S Zhang, H Tong, J Xu, R Maciejewski Computational Data and Social Networks: 7th International Conference, CSoNet …, 2018 | 70 | 2018 |
| Hidden: hierarchical dense subgraph detection with application to financial fraud detection S Zhang, D Zhou, MY Yildirim, S Alcorn, J He, H Davulcu, H Tong Proceedings of the 2017 SIAM international conference on data mining, 570-578, 2017 | 72 | 2017 |
| Hierarchical multi-marginal optimal transport for network alignment Z Zeng, B Du, S Zhang, Y Xia, Z Liu, H Tong Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16660 …, 2024 | 6 | 2024 |
| High-order structure exploration on massive graphs: A local graph clustering perspective D Zhou, S Zhang, MY Yildirim, S Alcorn, H Tong, H Davulcu, J He ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-26, 2021 | 20 | 2021 |
| Incomplete network alignment: Problem definitions and fast solutions S Zhang, H Tong, J Tang, J Xu, W Fan ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-26, 2020 | 14 | 2020 |
| ineat: Incomplete network alignment S Zhang, H Tong, J Tang, J Xu, W Fan 2017 IEEE International Conference on Data Mining (ICDM), 1189-1194, 2017 | 34 | 2017 |
| Llm-rec: Personalized recommendation via prompting large language models H Lyu, S Jiang, H Zeng, Y Xia, J Luo arXiv preprint arXiv:2307.15780, 2023 | 41 | 2023 |
| Multilevel network alignment S Zhang, H Tong, R Maciejewski, T Eliassi-Rad The World Wide Web Conference, 2344-2354, 2019 | 56 | 2019 |
Hanghang TongUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
