| A scalable redefined stochastic blockmodel X Liu, B Yang, H Chen, K Musial, H Chen, Y Li, W Zuo ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-28, 2021 | 34 | 2021 |
| Learning node and edge embeddings for signed networks W Song, S Wang, B Yang, Y Lu, X Zhao, X Liu Neurocomputing 319, 42-54, 2018 | 31 | 2018 |
| Stochastic blockmodeling and variational Bayes learning for signed network analysis B Yang, X Liu, Y Li, X Zhao IEEE Transactions on Knowledge and Data Engineering 29 (9), 2026-2039, 2017 | 29 | 2017 |
| Reinforced KGs reasoning for explainable sequential recommendation Z Cui, H Chen, L Cui, S Liu, X Liu, G Xu, H Yin World Wide Web 25 (2), 631-654, 2022 | 22 | 2022 |
| Statistical inference for community detection in signed networks X Zhao, B Yang, X Liu, H Chen Physical Review E 95 (4), 042313, 2017 | 19 | 2017 |
| Bayesian approach to modeling and detecting communities in signed network B Yang, X Zhao, X Liu Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 17 | 2015 |
| A block-based generative model for attributed network embedding X Liu, B Yang, W Song, K Musial, W Zuo, H Chen, H Yin World Wide Web 24, 1439-1464, 2021 | 14 | 2021 |
| Hyperbolic node embedding for signed networks W Song, H Chen, X Liu, H Jiang, S Wang Neurocomputing 421, 329-339, 2021 | 13 | 2021 |
| Semi-supervised stochastic blockmodel for structure analysis of signed networks X Liu, W Song, K Musial, X Zhao, W Zuo, B Yang Knowledge-Based Systems 195, 105714, 2020 | 10 | 2020 |
| A Counterfactual Collaborative Session-based Recommender System W Song, S Wang, Y Wang, K Liu, X Liu, M Yin Proceedings of the ACM Web Conference 2023, 971–982, 2023 | 7 | 2023 |
| Network modelling and variational Bayesian inference for structure analysis of signed networks X Zhao, X Liu, H Chen Applied Mathematical Modelling 61, 237-254, 2018 | 6 | 2018 |
| Interpretable Variational Graph Autoencoder with Noninformative Prior L Sun, X Liu, M Zhao, B Yang Future Internet 13 (2), 51, 2021 | 5 | 2021 |
| Dnea: Dynamic network embedding method for anomaly detection X Zang, B Yang, X Liu, A Li International Conference on Knowledge Science, Engineering and Management …, 2021 | 3 | 2021 |
| A survey of sum–product networks structural learning R Xia, Y Zhang, X Liu, B Yang Neural Networks, 2023 | 2 | 2023 |
| Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks R Xia, Y Zhang, C Zhang, X Liu, B Yang Proceedings of the ACM Web Conference 2023, 641-650, 2023 | 2 | 2023 |
| Attribute imputation autoencoders for attribute-missing graphs R Xia, C Zhang, A Li, X Liu, B Yang Knowledge-Based Systems, 111583, 2024 | | 2024 |
| A Novel Neural-symbolic System under Statistical Relational Learning D Yu, X Liu, S Pan, A Li, B Yang arXiv preprint arXiv:2309.08931, 2023 | | 2023 |
| Robust stochastic block model Z Xu, X Liu, X Cui, X Li, B Yang Neurocomputing 379, 398-412, 2020 | | 2020 |
Xuehua ZhaoShenzhen Institute of Information TechnologyDirección de correo verificada de sziit.edu.cn
