| Graph convolutional networks: a comprehensive review S Zhang, H Tong, J Xu, R Maciejewski Computational Social Networks 6 (1), 1-23, 2019 | 1113 | 2019 |
| FINAL: Fast Attributed Network Alignment S Zhang, H Tong Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 270 | 2016 |
| 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 |
| 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 |
| 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 | 69 | 2018 |
| 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 |
| 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 | 58 | 2023 |
| Multilevel network alignment S Zhang, H Tong, R Maciejewski, T Eliassi-Rad The World Wide Web Conference, 2344-2354, 2019 | 57 | 2019 |
| Bright: A bridging algorithm for network alignment Y Yan, S Zhang, H Tong Proceedings of the web conference 2021, 3907-3917, 2021 | 55 | 2021 |
| Attributed network alignment: Problem definitions and fast solutions S Zhang, H Tong IEEE Transactions on Knowledge and Data Engineering 31 (9), 1680-1692, 2018 | 51 | 2018 |
| 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 | 38 | 2023 |
| 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 | 36 | 2021 |
| 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 | 35 | 2017 |
| Nettrans: Neural cross-network transformation S Zhang, H Tong, Y Xia, L Xiong, J Xu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 24 | 2020 |
| 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 |
| New frontiers of multi-network mining: Recent developments and future trend B Du, S Zhang, Y Yan, H Tong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 19 | 2021 |
| Origin: Non-Rigid Network Alignment S Zhang, H Tong, J Xu, Y Hu, R Maciejewski 2019 IEEE International Conference on Big Data (Big Data), 2019 | 18 | 2019 |
| Parrot: Position-aware regularized optimal transport for network alignment Z Zeng, S Zhang, Y Xia, H Tong Proceedings of the ACM Web Conference 2023, 372-382, 2023 | 15 | 2023 |
| 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 |
| Network alignment: recent advances and future directions S Zhang, H Tong Proceedings of the 29th ACM international conference on information …, 2020 | 11 | 2020 |
Hanghang TongUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
