Hyper meta-path contrastive learning for multi-behavior recommendation H Yang, H Chen, L Li, SY Philip, G Xu 2021 IEEE International Conference on Data Mining (ICDM), 787-796, 2021 | 43 | 2021 |
Dual space graph contrastive learning H Yang, H Chen, S Pan, L Li, PS Yu, G Xu Proceedings of the ACM Web Conference 2022, 1238-1247, 2022 | 42 | 2022 |
Graph masked autoencoders with transformers S Zhang, H Chen, H Yang, X Sun, PS Yu, G Xu arXiv preprint arXiv:2202.08391, 2022 | 12 | 2022 |
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning H Yang, H Chen, S Zhang, X Sun, Q Li, X Zhao, G Xu Proceedings of the ACM Web Conference 2023, 621-629, 2023 | 3 | 2023 |
Graph Data Mining in Recommender Systems H Chen, Y Li, H Yang Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 2 | 2021 |
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations H Yang, X Zhao, Y Li, H Chen, G Xu Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning H Yang, X Zhao, M Li, H Chen, G Xu Information Sciences 648, 119552, 2023 | 1 | 2023 |
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks D Xu, H Yang, MA Rizoiu, G Xu International Conference on Advanced Data Mining and Applications, 520-534, 2022 | 1 | 2022 |
From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT D Xu, H Yang, MA Rizoiu, G Xu 2023 10th International Conference on Behavioural and Social Computing (BESC …, 2023 | | 2023 |
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles L Meng, H Yang, J Zhang 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | | 2022 |