| 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 |
| 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 | 29 | 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 IEEE Transactions on Neural Networks and Learning Systems, 2022 | 27 | 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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4391-4399, 2023 | 22 | 2023 |
| Graphine: A dataset for graph-aware terminology definition generation Z Liu, S Wang, Y Gu, R Zhang, M Zhang, S Wang EMNLP 2021, 2021 | 9 | 2021 |
| Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning X Luo*, W Ju*, Y Gu, Z Mao, L Liu, Y Yuan, M Zhang ACM Transactions on Knowledge Discovery from Data, 2023 | 7 | 2023 |
| Criterion-based heterogeneous collaborative filtering for multi-behavior implicit recommendation X Luo*, D Wu*, Y Gu*, C Chen, L Liu, J Ma, M Zhang, M Deng, J Huang, ... ACM Transactions on Knowledge Discovery from Data, 2021 | 6 | 2021 |
| Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling X Luo, W Ju, Y Gu, Y Qin, S Yi, D Wu, L Liu, M Zhang ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 5 | 2023 |
| A Survey on Graph Neural Networks in Intelligent Transportation Systems H Li, Y Zhao, Z Mao, YF Qin, Z Xiao, J Feng, Y Gu, W Ju, X Luo, M Zhang arXiv preprint arXiv:2401.00713, 2024 | 2 | 2024 |
| A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges W Ju, S Yi, Y Wang, Z Xiao, Z Mao, H Li, Y Gu, Y Qin, N Yin, S Wang, ... arXiv preprint arXiv:2403.04468, 2024 | 1 | 2024 |
| Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics X Luo, Y Gu, H Jiang, J Huang, W Ju, M Zhang, Y Sun arXiv preprint arXiv:2311.06554, 2023 | 1 | 2023 |
| GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling W Ju, Y Gu, Z Mao, Z Qiao, Y Qin, X Luo, H Xiong, M Zhang arXiv preprint arXiv:2401.16011, 2024 | | 2024 |
| PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering Y Qin, W Ju, X Luo, Y Gu, Z Xiao, M Zhang arXiv preprint arXiv:2401.12590, 2024 | | 2024 |
Ming Zhang（张铭）Professor,Peking UniversityVerified email at pku.edu.cn
