| Session-based Social Recommendation via Dynamic Graph Attention Networks W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang (WSDM 2019) Proceedings of the 12th ACM International Conference on Web …, 2019 | 518 | 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, ... Neural Networks, 106207, 2023 | 177 | 2023 |
| DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation Y Wang, S Tang, Y Lei, W Song, S Wang, M Zhang (CIKM 2020) Proceedings of the 29th ACM International Conference on …, 2020 | 161 | 2020 |
| DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation Y Qin, Y Wang(Co-first Author), F Sun, W Ju, X Hou, Z Wang, J Cheng, ... (WSDM 2023) Proceedings of the Sixteenth ACM International Conference on Web …, 2023 | 62 | 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 | 57 | 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 | 54 | 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 …, 2023 | 44 | 2023 |
| Analysis of Robustness of Urban Bus Network T Ren, Y Wang, M Liu, Y Xu Chinese Physics B 25 (2), 020101, 2016 | 40 | 2016 |
| 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 | 36 | 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) Proceedings of the AAAI Conference on Artificial Intelligence …, 2022 | 30 | 2022 |
| 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 (SIGIR 2022) Proceedings of the 45th International ACM SIGIR Conference on …, 2022 | 28 | 2022 |
| A survey of data-efficient graph learning W Ju, S Yi, Y Wang, Q Long, J Luo, Z Xiao, M Zhang (Accepted by IJCAI 2024) arXiv preprint arXiv:2402.00447, 2024 | 26* | 2024 |
| STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention M Zhang, S Liu, Y Wang (EDUCON 2020) IEEE Global Engineering Education Conference, 374-381, 2020 | 23 | 2020 |
| 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 | 18 | 2024 |
| Fuzzy-Information-based Robustness of Interconnected Networks Against Attacks and Failures Q Zhu, Z Zhu, Y Wang, H Yu Physica A: Statistical Mechanics and its Applications 458, 194-203, 2016 | 15 | 2016 |
| 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 (Accepted by ICML 2024) arXiv preprint arXiv:2405.04773, 2024 | 11 | 2024 |
| Deep Graph Mutual Learning for Cross-domain Recommendation Y Wang, Y Li, S Li, W Song, J Fan, S Gao, L Ma, B Cheng, X Cai, S Wang, ... (DASFAA 2022) International Conference on Database Systems for Advanced …, 2022 | 10 | 2022 |
| DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning Y Wang, X Luo, C Chen, XS Hua, M Zhang, W Ju IEEE Transactions on Neural Networks and Learning Systems, 2024 | 8 | 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 | 6 | 2024 |
| HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors Y Wang, J Shen, Y Song, S Wang, M Zhang (IJCNN 2022) International Joint Conference on Neural Networks, 1-8, 2022 | 5 | 2022 |
Ming Zhang（张铭）Professor,Peking UniversityVerified email at pku.edu.cn
