A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions

Xinzi Chen, Pei Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen. A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions. In Wei Peng 0004, Zhipeng Cai 0001, Pavel Skums, editors, Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part I. Volume 14954 of Lecture Notes in Computer Science, pages 196-211, Springer, 2024. [doi]

@inproceedings{ChenLZJS24,
  title = {A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions},
  author = {Xinzi Chen and Pei Li and Weizhong Zhao and Xingpeng Jiang and Xianjun Shen},
  year = {2024},
  doi = {10.1007/978-981-97-5128-0_16},
  url = {https://doi.org/10.1007/978-981-97-5128-0_16},
  researchr = {https://researchr.org/publication/ChenLZJS24},
  cites = {0},
  citedby = {0},
  pages = {196-211},
  booktitle = {Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part I},
  editor = {Wei Peng 0004 and Zhipeng Cai 0001 and Pavel Skums},
  volume = {14954},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-97-5128-0},
}