| Deeper insights into graph convolutional networks for semi-supervised learning Q Li, Z Han, XM Wu Thirty-Second AAAI conference on artificial intelligence, 2018 | 2755 | 2018 |
| Community detection based on distance dynamics J Shao, Z Han, Q Yang, T Zhou Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 174 | 2015 |
| Predicting path failure in time-evolving graphs J Li, Z Han, H Cheng, J Su, P Wang, J Zhang, L Pan Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 121 | 2019 |
| Adversarial attack on community detection by hiding individuals J Li, H Zhang, Z Han, Y Rong, H Cheng, J Huang Proceedings of The Web Conference 2020, 917-927, 2020 | 83 | 2020 |
| Community detection via local dynamic interaction J Shao, Z Han, Q Yang arXiv preprint arXiv:1409.7978, 2014 | 16 | 2014 |
| Learning physics-consistent particle interactions Z Han, DS Kammer, O Fink PNAS Nexus 1 (5), pgac264, 2022 | 4 | 2022 |
| Collective relational inference for learning heterogeneous interactions Z Han, O Fink, DS Kammer Nature Communications 15 (1), 3191, 2024 | | 2024 |
| Word embedding re-examined: is the symmetrical factorization optimal? Z Han, J Li, X Li, H Cheng | | 2019 |
