| Topic oriented community detection through social objects and link analysis in social networks Z Zhao, S Feng, Q Wang, JZ Huang, GJ Williams, J Fan Knowledge-Based Systems 26, 164-173, 2012 | 224 | 2012 |
| An incremental method to detect communities in dynamic evolving social networks Z Zhao, C Li, X Zhang, F Chiclana, EH Viedma Knowledge-Based Systems 163, 404-415, 2019 | 139 | 2019 |
| HetNERec: Heterogeneous network embedding based recommendation Z Zhao, X Zhang, H Zhou, C Li, M Gong, Y Wang Knowledge-based systems 204, 106218, 2020 | 86 | 2020 |
| Course ontology-based user’s knowledge requirement acquisition from behaviors within e-learning systems Q Zeng, Z Zhao, Y Liang Computers & Education 53 (3), 809-818, 2009 | 78 | 2009 |
| Multiplex heterogeneous graph convolutional network P Yu, C Fu, Y Yu, C Huang, Z Zhao, J Dong Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 71 | 2022 |
| Deep cognitive diagnosis model for predicting students’ performance L Gao, Z Zhao, C Li, J Zhao, Q Zeng Future Generation Computer Systems 126, 252-262, 2022 | 46 | 2022 |
| A comparative study on community detection methods in complex networks Z Zhao, S Zheng, C Li, J Sun, L Chang, F Chiclana Journal of Intelligent & Fuzzy Systems 35 (1), 1077-1086, 2018 | 45 | 2018 |
| Deepemlan: deep embedding learning for attributed networks Z Zhao, H Zhou, C Li, J Tang, Q Zeng Information Sciences 543, 382-397, 2021 | 41 | 2021 |
| Community detection based on unsupervised attributed network embedding X Zhou, L Su, X Li, Z Zhao, C Li Expert Systems with Applications 213, 118937, 2023 | 40 | 2023 |
| Self-paced co-training of graph neural networks for semi-supervised node classification M Gong, H Zhou, AK Qin, W Liu, Z Zhao IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9234-9247, 2022 | 39 | 2022 |
| Inductive representation learning via CNN for partially-unseen attributed networks Z Zhao, H Zhou, L Qi, L Chang, MC Zhou IEEE Transactions on Network Science and Engineering 8 (1), 695-706, 2021 | 37 | 2021 |
| Identifying advisor-advisee relationships from co-author networks via a novel deep model Z Zhao, W Liu, Y Qian, L Nie, Y Yin, Y Zhang Information Sciences 466, 258-269, 2018 | 33 | 2018 |
| Dual feature interaction-based graph convolutional network Z Zhao, Z Yang, C Li, Q Zeng, W Guan, MC Zhou IEEE Transactions on Knowledge and Data Engineering 35 (9), 9019-9030, 2022 | 31 | 2022 |
| GuessUNeed: Recommending courses via neural attention network and course prerequisite relation embeddings Z Zhao, Y Yang, C Li, L Nie ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 27 | 2020 |
| Session-based recommendation with hypergraph convolutional networks and sequential information embeddings C Ding, Z Zhao, C Li, Y Yu, Q Zeng Expert Systems with Applications 223, 119875, 2023 | 25 | 2023 |
| Probability model selection and parameter evolutionary estimation for clustering imbalanced data without sampling J Fan, Z Niu, Y Liang, Z Zhao Neurocomputing 211, 172-181, 2016 | 24 | 2016 |
| AF-GCN: Attribute-fusing graph convolution network for recommendation G Yue, R Xiao, Z Zhao, C Li IEEE Transactions on Big Data 9 (2), 597-607, 2022 | 21 | 2022 |
| Modeling the effort and learning ability of students in MOOCs L Gao, Z Zhao, L Qi, Y Liang, J Du Ieee Access 7, 128035-128042, 2019 | 19 | 2019 |
| BA-GNN: Behavior-aware graph neural network for session-based recommendation Y Liang, Q Song, Z Zhao, H Zhou, M Gong Frontiers of Computer Science 17 (6), 176613, 2023 | 17 | 2023 |
| Smgcl: Semi-supervised multi-view graph contrastive learning H Zhou, M Gong, S Wang, Y Gao, Z Zhao Knowledge-Based Systems 260, 110120, 2023 | 16 | 2023 |
Qingtian ZENGShandong University of Science and TechnologyVerified email at sdust.edu.cn
