| Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Y Dou, Z Liu, L Sun, Y Deng, H Peng, PS Yu CIKM 2020, 2020 | 268 | 2020 |
| Graph-bert: Only attention is needed for learning graph representations J Zhang, H Zhang, C Xia, L Sun arXiv preprint arXiv:2001.05140, 2020 | 201 | 2020 |
| Hyperbolic variational graph neural network for modeling dynamic graphs L Sun, Z Zhang, J Zhang, F Wang, H Peng, S Su, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4375-4383, 2021 | 51 | 2021 |
| Efficient incremental dynamic link prediction algorithms in social network Z Zhang, J Wen, L Sun, Q Deng, S Su, P Yao Knowledge-Based Systems 132, 226-235, 2017 | 42 | 2017 |
| MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation S Su, L Sun, Z Zhang, G Li, J Qu IJCAI 2018, 2018 | 28 | 2018 |
| DNA: Dynamic Social Network Alignment L Sun, Z Zhang, P Ji, J Wen, S Su, PS Yu IEEE International Conference on Big Data 2019, 2019 | 19 | 2019 |
| A Self-supervised Mixed-curvature Graph Neural Network L Sun, Z Zhang, J Ye, H Peng, J Zhang, S Su, PS Yu Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence …, 2021 | 15 | 2021 |
| BANANA: when Behavior ANAlysis meets social Network Alignment F Ren, Z Zhang, J Zhang, S Su, L Sun, G Zhu, C Guo IJCAI 2020, 2020 | 15 | 2020 |
| Reconciling Multiple Social Networks Effectively and Efficiently: An Embedding Approach Z Zhang, L Sun, S Su, J Qu, G Li IEEE Trans. on Knowledge and Data Engineering, 2019 | 12 | 2019 |
| A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning L Sun, J Ye, H Peng, PS Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
| A survey of graph neural network based recommendation in social networks X Li, L Sun, M Ling, Y Peng Neurocomputing, 126441, 2023 | 8 | 2023 |
| DiriE: Knowledge Graph Embedding with Dirichlet Distribution F Wang, Z Zhang, L Sun, J Ye, Y Yan Proceedings of the ACM Web Conference 2022, 3082-3091, 2022 | 7 | 2022 |
| Hyperbolic User Identity Linkage across Social Networks F Wang, L Sun, Z Zhang IEEE GlobalComm 2020, 2020 | 7 | 2020 |
| Self-supervised continual graph learning in adaptive riemannian spaces L Sun, J Ye, H Peng, F Wang, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4633-4642, 2023 | 6 | 2023 |
| MC2: Unsupervised Multiple Social Network Alignment G Li, L Sun, Z Zhang, P Ji, S Su, PS Yu IEEE International Conference on Big Data 2019, 2019 | 6 | 2019 |
| DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation Z Zhang, Z Yin, J Wen, L Sun, S Su, SY Philip IEEE Transactions on Knowledge and Data Engineering 34 (10), 4737-4752, 2021 | 5 | 2021 |
| Aligning Dynamic Social Networks: An Optimization over Dynamic Graph Autoencoder L Sun, Z Zhang, J Wen, F Wang, P Ji, S Su, P Yu IEEE Transactions on Knowledge and Data Engineering, 2022 | 4 | 2022 |
| Fair-aware Competitive Event Influence Maximization in Social Networks S Gao, Z Zhang, S Su, J Wen, L Sun IEEE Trans. on Network Science and Engineering, 0 | 3* | |
| CONGREGATE: Contrastive Graph Clustering in Curvature Spaces HPPSY Li Sun, Feiyang Wang, Junda Ye Proceedings of IJCAI 2023, 2023 | 2* | 2023 |
| Inductive and irregular dynamic network representation based on ordinary differential equations H Cao, Z Zhang, L Sun, Z Wang Knowledge-Based Systems 227, 107271, 2021 | 2 | 2021 |
Zhongbao ZhangAssociate Professor of Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
