| A Comprehensive Survey on Deep Graph Representation Learning W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ... Neural Networks, 2023 | 44* | 2023 |
| Unsupervised Author Disambiguation Using Heterogeneous Graph Convolutional Network Embedding Z Qiao, Y Du, Y Fu, P Wang, Y Zhou 2019 IEEE International Conference on Big Data (Big Data), 910-919, 2019 | 29 | 2019 |
| A Survey on the Construction Methods and Applications of Sci-Tech Big Data Knowledge Graph Y Zhou, W Wang, Z Qiao, M Xiao, Y Du Scientia Sinica Informationis 50 (7), 957-987, 2020 | 28* | 2020 |
| Kernel-based Substructure Exploration for Next POI Recommendation W Ju, Y Qin, Z Qiao, X Luo, Y Wang, Y Fu, M Zhang 2022 IEEE International Conference on Data Mining (ICDM), 2022 | 15 | 2022 |
| Data Augmentation for Graph Convolutional Network on Semi-supervised Classification Z Tang, Z Qiao, X Hong, Y Wang, FA Dharejo, Y Zhou, Y Du Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021 …, 2021 | 15 | 2021 |
| Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning Z Qiao, P Wang, Y Fu, Y Du, P Wang, Y Zhou 2020 IEEE International Conference on Data Mining (ICDM), 2020 | 15 | 2020 |
| Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents M Xiao, D Wang, M Wu, Z Qiao, P Wang, K Liu, Y Zhou, Y Fu SIAM International Conference on Data Mining (SDM) 2023, 2022 | 10 | 2022 |
| RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Z Qiao, Y Fu, P Wang, M Xiao, Z Ning, Y Du, Y Zhou IEEE Transactions on Big Data, 2021 | 9 | 2021 |
| Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract) Z Qiao, Z Ning, Y Du, Y Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15871 …, 2021 | 8* | 2021 |
| Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification M Xiao, Z Qiao, Y Fu, Y Du, P Wang, Y Zhou 2021 IEEE International Conference on Data Mining (ICDM), 2021 | 7 | 2021 |
| LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding Z Ning, Z Qiao, H Dong, Y Du, Y Zhou Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia …, 2021 | 7 | 2021 |
| Semi-supervised Domain Adaptation in Graph Transfer Learning Z Qiao, X Luo, M Xiao, H Dong, Y Zhou, H Xiong 2023 International Joint Conference on Artificial Intelligence (IJCAI), 2023 | 6 | 2023 |
| Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification M Xiao, Z Qiao, Y Fu, H Dong, Y Du, P Wang, H Xiong, Y Zhou IEEE Transactions on Knowledge and Data Engineering, 2023 | 6* | 2023 |
| A dual-channel semi-supervised learning framework on graphs via knowledge transfer and meta-learning Z Qiao, P Wang, P Wang, Z Ning, Y Fu, Y Du, Y Zhou, J Huang, XS Hua, ... ACM Transactions on the Web 18 (2), 1-26, 2024 | 4 | 2024 |
| Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning H Dong, Z Ning, P Wang, Z Qiao, P Wang, Y Zhou, Y Fu 2023 International Joint Conference on Artificial Intelligence (IJCAI), 2023 | 4 | 2023 |
| Hierarchical mixup multi-label classification with imbalanced interdisciplinary research proposals M Xiao, M Wu, Z Qiao, Z Ning, Y Du, Y Fu, Y Zhou arXiv preprint arXiv:2209.13912, 2022 | 3* | 2022 |
| Graph soft-contrastive learning via neighborhood ranking Z Ning, P Wang, P Wang, Z Qiao, W Fan, D Zhang, Y Du, Y Zhou arXiv preprint arXiv:2209.13964, 2022 | 3 | 2022 |
| Focus on informative graphs! semi-supervised active learning for graph-level classification W Ju, X Luo, Y Qin, Z Qiao, S Yi, L Liu, Y Fu, M Zhang | 2 | 2023 |
| Adaptive harmony learning and optimization for attributed graph clustering D Wu, X Guo, X Luo, Z Qiao, J Ma 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
| 基于词嵌入的国家自然科学基金学科交叉知识发现方法——以 “人工智能” 与 “信息管理” 为例 王卫军， 姚畅， 乔子越， 崔文娟， 杜一， 周园春 情报学报 40 (8), 831-845, 2021 | 2 | 2021 |
Yuanchun ZhouComputer Network Information Center,CASVerified email at cnic.cn
