Zhaohan Meng

2582280m@student.gla.ac.uk

Research title: Heterogeneous entity representation learning for knowledge graph in biomedical science

Research Summary

My research focuses on the intersection of knowledge graphs and large language models, with a current emphasis on biomedical applications.

  • Geometric Deep Learning (Graph Neural Networks)
  • Large Language Model (LLM)
  • Knowledge Graph Construction
  • Natural Language Processing

Publications

List by: Type | Date

Jump to: 2024
Number of items: 2.

2024

Meng, Z., Liu, S., Liang, S., Jani, B. and Meng, Z. (2024) Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings in Bioinformatics, (Accepted for Publication)

Meng, Z., Meng, Z. and Ounis, I. (2024) FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. 5th AI for Science workshop: Scaling in AI for SCientific Discovery at The 41st International Conference on Machine Learning, Vienna, Austria, 26-27 July 2024. (Accepted for Publication)

This list was generated on Sun Jul 21 01:45:35 2024 BST.
Number of items: 2.

Articles

Meng, Z., Liu, S., Liang, S., Jani, B. and Meng, Z. (2024) Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings in Bioinformatics, (Accepted for Publication)

Conference or Workshop Item

Meng, Z., Meng, Z. and Ounis, I. (2024) FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. 5th AI for Science workshop: Scaling in AI for SCientific Discovery at The 41st International Conference on Machine Learning, Vienna, Austria, 26-27 July 2024. (Accepted for Publication)

This list was generated on Sun Jul 21 01:45:35 2024 BST.