| Knowledge graph contrastive learning for recommendation Y Yang, C Huang, L Xia, C Li SIGIR 2022, 2022 | 347 | 2022 |
| Hypergraph contrastive collaborative filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, J Huang SIGIR 2022, 2022 | 347 | 2022 |
| LightGCL: Simple yet effective graph contrastive learning for recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023 | 270 | 2023 |
| Traffic flow forecasting with spatial-temporal graph diffusion network X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng AAAI 2021, 2021 | 213 | 2021 |
| Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo AAAI 2021, 2021 | 211 | 2021 |
| Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo SIGIR 2021, 2021 | 202 | 2021 |
| Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye AAAI 2021, 2021 | 198 | 2021 |
| Contrastive meta learning with behavior multiplicity for recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin WSDM 2022, 2022 | 168 | 2022 |
| Heterogeneous graph contrastive learning for recommendation M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo WSDM 2023, 2023 | 154 | 2023 |
| Multi-modal self-supervised learning for recommendation W Wei, C Huang, L Xia, C Zhang WWW 2023, 2023 | 128 | 2023 |
| Multi-behavior hypergraph-enhanced transformer for sequential recommendation Y Yang, C Huang, L Xia, Y Liang, Y Yu, C Li KDD 2022, 2022 | 123 | 2022 |
| Multiplex behavioral relation learning for recommendation via memory augmented transformer network L Xia, C Huang, Y Xu, P Dai, B Zhang, L Bo SIGIR 2020, 2020 | 122 | 2020 |
| Representation learning with large language models for recommendation X Ren, W Wei, L Xia, L Su, S Cheng, J Wang, D Yin, C Huang WWW 2024, 2024 | 113 | 2024 |
| Graph-enhanced multi-task learning of multi-level transition dynamics for session-based recommendation C Huang, J Chen, L Xia, Y Xu, P Dai, Y Chen, L Bo, J Zhao, JX Huang AAAI 2021, 2021 | 113 | 2021 |
| Debiased contrastive learning for sequential recommendation Y Yang, C Huang, L Xia, C Huang, D Luo, K Lin WWW 2023, 2023 | 112 | 2023 |
| Self-supervised hypergraph transformer for recommender systems L Xia, C Huang, C Zhang KDD 2022, 2022 | 112 | 2022 |
| Social recommendation with self-supervised metagraph informax network X Long, C Huang, Y Xu, H Xu, P Dai, L Xia, L Bo CIKM 2021, 2021 | 92 | 2021 |
| Adaptive graph contrastive learning for recommendation Y Jiang, C Huang, L Xia KDD 2023, 2023 | 91 | 2023 |
| Knowledge graph self-supervised rationalization for recommendation Y Yang, C Huang, L Xia, C Huang KDD 2023, 2023 | 87 | 2023 |
| Disentangled contrastive collaborative filtering X Ren, L Xia, J Zhao, D Yin, C Huang SIGIR 2023, 2023 | 85 | 2023 |
Chao HuangAssistant Professor of Computer Science, University of Hong Kong在 hku.hk 的电子邮件经过验证