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2582280m@student.gla.ac.uk
Research title: Heterogeneous entity representation learning for knowledge graph in biomedical science
My research focuses on the intersection of knowledge graphs and large language models, with a current emphasis on biomedical applications.
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)
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)
