| PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction H Chen, H Yin, W Wang, H Wang, QVH Nguyen, X Li Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 277 | 2018 |
| Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling Y Wang, H Yin, H Chen, T Wo, J Xu, K Zheng Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 271 | 2019 |
| Towards Unsupervised Deep Graph Structure Learning Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan The Web Conference 2022, 2022 | 153 | 2022 |
| Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction H Chen, H Yin, X Sun, T Chen, B Gabrys, K Musial Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 149 | 2020 |
| Heterogeneous Hypergraph Embedding for Graph Classification X Sun, H Yin, B Liu, H Chen, J Cao, Y Shao, NQV Hung the 14th ACM International Conference on Web Search and Data Mining (WSDM2021), 2021 | 113 | 2021 |
| Air: Attentional intention-aware recommender systems T Chen, H Yin, H Chen, R Yan, QVH Nguyen, X Li 2019 IEEE 35th International Conference on Data Engineering (ICDE), 304-315, 2019 | 112 | 2019 |
| SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction H Yin, H Chen, X Sun, H Wang, Y Wang, QVH Nguyen 2017 IEEE International Conference on Data Mining(ICDM'17), 2017 | 109 | 2017 |
| Temporal Meta-path Guided Explainable Recommendation H Chen, Y Li, X Sun, G Xu, H Yin the 14th ACM International Conference on Web Search and Data Mining (WSDM2021), 2021 | 91 | 2021 |
| Exploiting centrality information with graph convolutions for network representation learning H Chen, H Yin, T Chen, QVH Nguyen, WC Peng, X Li 2019 IEEE 35th International Conference on Data Engineering (ICDE), 590-601, 2019 | 86 | 2019 |
| Disease Prediction via Graph Neural Networks Z Sun, H Yin, H Chen, T Chen, L Cui, F Yang IEEE Journal of Biomedical and Health Informatics, 2020 | 85 | 2020 |
| TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction T Chen, H Yin, H Chen, L Wu, H Wang, X Zhou, X Li 2018 IEEE International Conference on Data Mining(ICDM'18), 2018 | 85 | 2018 |
| Social Boosted Recommendation with Folded Bipartite Network Embedding H Chen, H Yin, T Chen, W Wang, X Li, X Hu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 | 65 | 2020 |
| Hyperbolic Hypergraphs for Sequential Recommendation Y Li, H Chen, X Sun, Z Sun, L Li, L Cui, P Yu, G Xu 30th ACM International Conference on Information and Knowledge Management, 2021 | 60 | 2021 |
| Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation H Yang, H Chen, L Li, P Yu, G Xu 21st IEEE International Conference on Data Mining (ICDM), 2021 | 57 | 2021 |
| Dual Space Graph Contrastive Learning H Yang, H Chen, S Pan, L Li, P Yu, G Xu The Web Conference 2022, 2022 | 51 | 2022 |
| Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation S Zhang, H Chen, X Sun, Y Li, G Xu The Web Conference 2022, 2022 | 45 | 2022 |
| Inferring Substitutable Products with Deep Network Embedding S Zhang, H Yin, W Qinyong, T Chen, H Chen, QVH Nguyen Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 43 | 2019 |
| Click-Through Rate Prediction with Multi-Modal Hypergraphs L He, H Chen, D Wang, S Jameel, P Yu, G Xu 30th ACM International Conference on Information and Knowledge Management, 2021 | 41 | 2021 |
| People opinion topic model: opinion based user clustering in social networks H Chen, H Yin, X Li, M Wang, W Chen, T Chen Proceedings of the 26th international conference on world wide web companion …, 2017 | 36 | 2017 |
| A Scalable Redefined Stochastic Blockmodel X Liu, B Yang, H Chen, K Musial, H Chen, Y Li, W Zuo ACM Transactions on Knowledge Discovery from Data (TKDD), 2020 | 35 | 2020 |
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandEmail được xác minh tại uq.edu.au
