| An attention-based graph neural network for heterogeneous structural learning H Hong, H Guo, Y Lin, X Yang, Z Li, J Ye Proceedings of the AAAI conference on artificial intelligence 34 (04), 4132-4139, 2020 | 239 | 2020 |
| HetETA: Heterogeneous information network embedding for estimating time of arrival H Hong, Y Lin, X Yang, Z Li, K Fu, Z Wang, X Qie, J Ye Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 116 | 2020 |
| A time-aware personalized point-of-interest recommendation via high-order tensor factorization X Li, M Jiang, H Hong, L Liao ACM Transactions on Information Systems (TOIS) 35 (4), 1-23, 2017 | 101 | 2017 |
| GANE: A generative adversarial network embedding H Hong, X Li, M Wang IEEE transactions on neural networks and learning systems 31 (7), 2325-2335, 2019 | 36 | 2019 |
| Domain-adversarial network alignment H Hong, X Li, Y Pan, IW Tsang IEEE Transactions on Knowledge and Data Engineering 34 (7), 3211-3224, 2020 | 33 | 2020 |
| Crowdsourcing incentives for multi-hop urban parcel delivery network H Hong, X Li, D He, Y Zhang, M Wang IEEE Access 7, 26268-26277, 2019 | 33 | 2019 |
| A structural representation learning for multi-relational networks X Li, H Hong, L Liu, WK Cheung arXiv preprint arXiv:1805.06197, 2018 | 14 | 2018 |
| Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution Y Lin, H Hong, X Yang, X Yang, P Gong, J Ye arXiv preprint arXiv:2010.04554, 2020 | 2 | 2020 |
| AHINE: Adaptive Heterogeneous Information Network Embedding Y Lin, H Hong, X Yang, P Gong, Z Li, J Ye 2020 IEEE International Conference on Knowledge Graph (ICKG), 100-107, 2020 | 1 | 2020 |
| HetETA H Hong, Y Lin, X Yang, Z Li, K Fu, Z Wang, X Qie, J Ye Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | | 2020 |
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba Group在 umich.edu 的电子邮件经过验证
