| Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space M Yang, M Zhou, M Kalander, Z Huang, I King The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21), 2021 | 130 | 2021 |
| Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation Y Chen, M Yang, Y Zhang, M Zhao, Z Meng, J Hao, I King The 15th ACM International Conference on Web Search and Data Mining (WSDM …, 2022 | 90 | 2022 |
| HRCF: Enhancing collaborative filtering via hyperbolic geometric regularization M Yang, M Zhou, J Liu, D Lian, I King Proceedings of the ACM Web Conference 2022 (TheWebConf '22), 2462-2471, 2022 | 88 | 2022 |
| Hyperbolic Graph Neural Networks: A Review of Methods and Applications M Yang, M Zhou, Z Li, J Liu, L Pan, H Xiong, I King arXiv preprint arXiv:2202.13852, 2022 | 78 | 2022 |
| HICF: Hyperbolic Informative Collaborative Filtering M Yang, Z Li, M Zhou, J Liu, I King The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022 | 71 | 2022 |
| Featurenorm: L2 feature normalization for dynamic graph embedding M Yang, Z Meng, I King IEEE International Conference on Data Mining (ICDM '20), 731-740, 2020 | 35 | 2020 |
| Hyperbolic Representation Learning: Revisiting and Advancing M Yang, M Zhou, R Ying, Y Chen, I King ICML 2023, 2023 | 32 | 2023 |
| Hyperbolic Temporal Network Embedding M Yang, M Zhou, H Xiong, I King IEEE Transactions on Knowledge and Data Engineering, 2022 | 32 | 2022 |
| κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning M Yang, M Zhou, L Pan, I King KDD 2023, 2022 | 27* | 2022 |
| Enhancing hyperbolic graph embeddings via contrastive learning J Liu, M Yang, M Zhou, S Feng, P Fournier-Viger 2nd SSL Workshop of NeurIPS 2021, 2022 | 27 | 2022 |
| WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering Y Chen, Y Zhang, M Yang, Z Song, C Ma, I King SIGIR 2023, 2023 | 24 | 2023 |
| TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction M Zhou, B Li, M Yang, L Pan GLB 2022 @TheWebConf 2022, 2022 | 23 | 2022 |
| Hyperbolic graph neural networks: A tutorial on methods and applications M Zhou, M Yang, B Xiong, H Xiong, I King Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 14 | 2023 |
| Hypformer: Exploring efficient transformer fully in hyperbolic space M Yang, H Verma, DC Zhang, J Liu, I King, R Ying Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 12 | 2024 |
| BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction B Li, M Zhou, S Zhang, M Yang, D Lian, Z Huang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 11 | 2022 |
| Text-attributed graph representation learning: Methods, applications, and challenges DC Zhang, M Yang, R Ying, HW Lauw Companion Proceedings of the ACM Web Conference 2024, 1298-1301, 2024 | 10 | 2024 |
| Discovering Representative Attribute-stars via Minimum Description Length J Liu, M Zhou, P Fournier-Viger, M Yang, L Pan, M Nouioua IEEE International Conference on Data Engineering (ICDE '22), 2022 | 10 | 2022 |
| DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs J Zhang, J Chen, M Yang, A Feng, S Liang, J Shao, R Ying NeurIPS 2024, 2024 | 4 | 2024 |
| Enhancing llm complex reasoning capability through hyperbolic geometry M Yang, A Feng, B Xiong, J Liu, I King, R Ying ICML 2024 Workshop on LLMs and Cognition, 2024 | 4 | 2024 |
| Hyperbolic Graph Representation Learning: A Tutorial M Zhou, M Yang, L Pan, I King ECML-PKDD 2022, 2022 | 4 | 2022 |
Irwin KingThe Chinese University of Hong KongVerifisert e-postadresse på cse.cuhk.edu.hk