| 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 | 157 | 2024 |
| 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 Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 64 | 2023 |
| 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 | 63 | 2024 |
| 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 | 53 | 2023 |
| 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 | 46 | 2023 |
| Learning graph ode for continuous-time sequential recommendation Y Qin, W Ju, H Wu, X Luo, M Zhang IEEE Transactions on Knowledge and Data Engineering 36 (7), 3224-3236, 2024 | 39 | 2024 |
| 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), 221-230, 2022 | 38 | 2022 |
| Towards semi-supervised universal graph classification X Luo, Y Zhao, Y Qin, W Ju, M Zhang IEEE Transactions on Knowledge and Data Engineering 36 (1), 416-428, 2023 | 37 | 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 International conference on machine learning, 23124-23139, 2023 | 35 | 2023 |
| Redundancy-free self-supervised relational learning for graph clustering S Yi, W Ju, Y Qin, X Luo, L Liu, Y Zhou, M Zhang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 30 | 2023 |
| DisenCTR: Dynamic graph-based disentangled representation for click-through rate prediction Y Wang, Y Qin, F Sun, B Zhang, X Hou, K Hu, J Cheng, J Lei, M Zhang Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 29 | 2022 |
| Learning on graphs under label noise J Yuan, X Luo, Y Qin, Y Zhao, W Ju, M Zhang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 26 | 2023 |
| A Survey on Graph Neural Networks in Intelligent Transportation Systems H Li, Y Zhao, Z Mao, Y Qin, Z Xiao, J Feng, Y Gu, W Ju, X Luo, M Zhang arXiv preprint arXiv:2401.00713, 2024 | 21 | 2024 |
| Rahnet: Retrieval augmented hybrid network for long-tailed graph classification Z Mao, W Ju, Y Qin, X Luo, M Zhang Proceedings of the 31st ACM international conference on multimedia, 3817-3826, 2023 | 20 | 2023 |
| Zero-shot node classification with graph contrastive embedding network W Ju, Y Qin, S Yi, Z Mao, K Zheng, L Liu, X Luo, M Zhang Transactions on Machine Learning Research, 2023 | 20 | 2023 |
| Towards graph contrastive learning: A survey and beyond W Ju, Y Wang, Y Qin, Z Mao, Z Xiao, J Luo, J Yang, Y Gu, D Wang, ... arXiv preprint arXiv:2405.11868, 2024 | 19 | 2024 |
| Cool: a conjoint perspective on spatio-temporal graph neural network for traffic forecasting W Ju, Y Zhao, Y Qin, S Yi, J Yuan, Z Xiao, X Luo, X Yan, M Zhang Information Fusion 107, 102341, 2024 | 18 | 2024 |
| Alex: Towards effective graph transfer learning with noisy labels J Yuan, X Luo, Y Qin, Z Mao, W Ju, M Zhang Proceedings of the 31st ACM international conference on multimedia, 3647-3656, 2023 | 18 | 2023 |
| 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 | 15 | 2023 |
| Hypergraph-enhanced dual semi-supervised graph classification W Ju, Z Mao, S Yi, Y Qin, Y Gu, Z Xiao, Y Wang, X Luo, M Zhang arXiv preprint arXiv:2405.04773, 2024 | 13 | 2024 |
Ming Zhang（张铭）Professor,Peking UniversityEmail được xác minh tại pku.edu.cn