Funder
Innovation and Technology Fund
The University of Hong Kong
Research Grants Council, University Grants Committee
National Natural Science Foundation of China
Reference50 articles.
1. Translating embeddings for modeling multi-relational data;Bordes;Advances in Neural Information Processing Systems,2013
2. Source-aware embedding training on heterogeneous information networks;Chan;Data Intelligence,2023
3. Choi, E., Bahadori, M. T., Song, L., Stewart, W. F., & Sun, J. (2017). GRAM: graph-based attention model for healthcare representation learning. In Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 787–795).
4. Mime: Multilevel medical embedding of electronic health records for predictive healthcare;Choi;Advances in Neural Information Processing Systems,2018
5. Dong, D., Wu, H., He, W., Yu, D., & Wang, H. (2015). Multi-task learning for multiple language translation. In Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing (volume 1: long papers) (pp. 1723–1732).