| 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, 106207, 2024 | 44* | 2024 |
| DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning X Luo*, W Ju*, M Qu, C Chen, M Deng, XS Hua, M Zhang (ICDE 2022) IEEE International Conference on Data Engineering, 699-712, 2022 | 34 | 2022 |
| GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification W Ju*, X Luo*, Z Ma, J Yang, M Deng, M Zhang Neural Networks 151, 70-79, 2022 | 30 | 2022 |
| Unsupervised graph-level representation learning with hierarchical contrasts W Ju*, Y Gu*, X Luo, Y Wang, H Yuan, H Zhong, M Zhang Neural Networks 158, 359-368, 2023 | 27 | 2023 |
| CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning X Luo*, W Ju*, M Qu, Y Gu, C Chen, M Deng, XS Hua, M Zhang (TNNLS 2022) IEEE Transactions on Neural Networks and Learning Systems, 899 …, 2022 | 26 | 2022 |
| KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification W Ju, J Yang, M Qu, W Song, J Shen, M Zhang (WSDM 2022) ACM International Conference on Web Search and Data Mining, 421-429, 2022 | 26 | 2022 |
| Few-shot molecular property prediction via Hierarchically Structured Learning on Relation Graphs W Ju*, Z Liu*, Y Qin, B Feng, C Wang, Z Guo, X Luo, M Zhang Neural Networks 163, 122-131, 2023 | 24 | 2023 |
| TGNN: A Joint Semi-supervised Framework for Graph-level Classification W Ju*, X Luo*, M Qu, Y Wang, C Chen, M Deng, XS Hua, M Zhang (IJCAI 2022) International Joint Conference on Artificial Intelligence, 2122 …, 2022 | 24 | 2022 |
| Glcc: A general framework for graph-level clustering W Ju*, Y Gu*, B Chen, G Sun, Y Qin, X Liu, X Luo, M Zhang (AAAI 2023 Oral) Proceedings of the AAAI Conference on Artificial …, 2023 | 21 | 2023 |
| DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation Y Qin, Y Wang, F Sun, W Ju, X Hou, Z Wang, J Cheng, J Lei, M Zhang (WSDM 2023) ACM International Conference on Web Search and Data Mining, 508–516, 2023 | 19 | 2023 |
| Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting Y Zhao*, X Luo*, W Ju, C Chen, XS Hua, M Zhang (ICDE 2023) IEEE International Conference on Data Engineering, 2023 | 18 | 2023 |
| Kernel-based Substructure Exploration for Next POI Recommendation W Ju*, Y Qin*, Z Qiao, X Luo, Y Wang, Y Fu, M Zhang (ICDM 2022 Best Paper Finalist) IEEE International Conference on Data Mining, 2022 | 15 | 2022 |
| DisenCite: Graph-based Disentangled Representation Learning for Context-specific Citation Generation Y Wang, Y Song, S Li, C Cheng, W Ju, M Zhang, S Wang (AAAI 2022 Oral) Proceedings of the AAAI Conference on Artificial …, 2022 | 15 | 2022 |
| Learning on Graphs under Label Noise J Yuan*, X Luo*, Y Qin, Y Zhao, W Ju, M Zhang (ICASSP 2023) IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 13 | 2023 |
| HOPE: High-order Graph ODE For Modeling Interacting Dynamics X Luo, J Yuan, Z Huang, H Jiang, Y Qin, W Ju, M Zhang, Y Sun (ICML 2023) International Conference on Machine Learning, 2023 | 13 | 2023 |
| Learning graph ODE for continuous-time sequential recommendation Y Qin*, W Ju*, H Wu, X Luo, M Zhang (TKDE 2024) IEEE Transactions on Knowledge and Data Engineering, 2024 | 12 | 2024 |
| Towards Semi-supervised Universal Graph Classification X Luo, Y Zhao, Y Qin, W Ju, M Zhang (TKDE 2023) IEEE Transactions on Knowledge and Data Engineering, 2023 | 11 | 2023 |
| Fimo: A challenge formal dataset for automated theorem proving C Liu, J Shen, H Xin, Z Liu, Y Yuan, H Wang, W Ju, C Zheng, Y Yin, L Li, ... arXiv preprint arXiv:2309.04295, 2023 | 9 | 2023 |
| Redundancy-free self-supervised relational learning for graph clustering S Yi, W Ju, Y Qin, X Luo, L Liu, Y Zhou, M Zhang (TNNLS 2023) IEEE Transactions on Neural Networks and Learning Systems, 2023 | 8 | 2023 |
| Improved Deep Unsupervised Hashing via Prototypical Learning Z Ma*, W Ju*, X Luo, C Chen, XS Hua, G Lu (ACMMM 2022) ACM International Conference on Multimedia, 659-667, 2022 | 8 | 2022 |
Ming Zhang（张铭）Professor,Peking UniversityVerified email at pku.edu.cn
