| AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang (CIKM '19) In Proceedings of the 28th ACM International Conference on …, 2019 | 889 | 2019 |
| Session-Based Social Recommendation via Dynamic Graph Attention Networks W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang (WSDM '19) In Proceedings of the Twelfth ACM International Conference on Web …, 2019 | 515 | 2019 |
| 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, ... Neurl Networks 173 (5), 1-50, 2024 | 168 | 2024 |
| TIMME: Twitter Ideology-Detection via Multi-Task Multi-Relational Embedding Z Xiao, W Song, H Xu, Z Ren, Y Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 83 | 2020 |
| 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:3403.04468, 2024 | 49 | 2024 |
| Game development for computer science education C Johnson, M McGill, D Bouchard, MK Bradshaw, VA Bucheli, LD Merkle, ... Proceedings of the 2016 ITiCSE Working Group Reports, 23-44, 2016 | 33 | 2016 |
| 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 | 20 | 2024 |
| Detecting political biases of named entities and hashtags on Twitter Z Xiao, J Zhu, Y Wang, P Zhou, WH Lam, MA Porter, Y Sun EPJ Data Science 12 (1), 2023 | 20 | 2023 |
| A Survey of Data-Efficient Graph Learning W Ju, S Yi, Y Wang, Q Long, J Luo, Z Xiao, M Zhang International Joint Conference on Artificial Intelligence (IJCAI), 2024 | 18 | 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, 102341, 2024 | 16 | 2024 |
| 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 | 13 | 2024 |
| Poisoning medical knowledge using large language models J Yang, H Xu, S Mirzoyan, T Chen, Z Liu, Z Liu, W Ju, L Liu, Z Xiao, ... Nature Machine Intelligence, 1-13, 2024 | 10 | 2024 |
| 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 International Conference on Machine Learning (ICML), 2024 | 9 | 2024 |
| A bioactivity foundation model using pairwise meta-learning B Feng, Z Liu, N Huang, Z Xiao, H Zhang, S Mirzoyan, H Xu, J Hao, Y Xu, ... Nature Machine Intelligence 6, 962--974, 2024 | 7 | 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 | 7 | 2024 |
| Focus on informative graphs! semi-supervised active learning for graph-level classification W Ju, Z Mao, Z Qiao, Y Qin, S Yi, Z Xiao, X Luo, Y Fu, M Zhang Pattern Recognition 153, 110567, 2024 | 5 | 2024 |
| DEER: Distribution Divergence-based Graph Contrast for Partial Label Learning on Graphs Y Gu, Z Chen, Y Qin, Z Mao, Z Xiao, W Ju, C Chen, XS Hua, Y Wang, ... IEEE Transactions on Multimedia, 2024 | 5 | 2024 |
| PGODE: Towards High-quality System Dynamics Modeling X Luo, Y Gu, H Jiang, H Zhou, J Huang, W Ju, Z Xiao, M Zhang, Y Sun Forty-first International Conference on Machine Learning (ICML), 2024 | 3* | 2024 |
| GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation J Luo, Y Gu, X Luo, W Ju, Z Xiao, Y Zhao, J Yuan, M Zhang IEEE Transactions on Pattern Analysis & Machine Intelligence, 1-14, 2024 | 3 | 2024 |
| SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation J Luo, X Luo, X Chen, Z Xiao, W Ju, M Zhang arXiv preprint arXiv:2410.14745, 2024 | 2 | 2024 |
Ming Zhang（张铭）Professor,Peking UniversityDirección de correo verificada de pku.edu.cn