Research output per year
Research output per year
Personal profile
Biography
Daokun Zhang is an Adjunct Research Fellow with Department of Data Science & AI, Monash University since January 2024. Before that, he was a Research Fellow/Lecturer at Monash University from April 2021 to January 2024, and he ever worked as a Postdoctoral Research Associate at The University of Sydney from June 2019 to April 2021. In November 2019, Dr. Zhang received his Ph.D degree in data science from University of Technology Sydney, NSW, Australia.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Data Science, Ph.D degree, Augmented Network Embedding in Attributed Graphs
Award Date: 12 Nov 2019
Research area keywords
- Network Analysis
- Knowledge Graphs
- Weakly Supervised Learning
- Drug Discovery
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction
Gao, M., Zhang, D., Chen, Y., Zhang, Y., Wang, Z., Wang, X., Li, S., Guo, Y., Webb, G. I., Nguyen, A. T. N., May, L. & Song, J., May 2024, In: Computers in Biology and Medicine. 173, 14 p., 108339.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile13 Citations (Scopus) -
The application of artificial intelligence to accelerate G protein-coupled receptor drug discovery
Nguyen, A. T. N., Nguyen, D. T. N., Koh, H. Y., Toskov, J., MacLean, W., Xu, A., Zhang, D., Webb, G. I., May, L. T. & Halls, M. L., Jul 2024, In: British Journal of Pharmacology. 181, 14, p. 2371-2384 14 p.Research output: Contribution to journal › Review Article › Research › peer-review
Open Access17 Citations (Scopus) -
Towards complex dynamic physics system simulation with graph neural ordinary equations
Shi, G., Zhang, D., Jin, M., Pan, S. & Yu, P. S., Aug 2024, In: Neural Networks. 176, 11 p., 106341.Research output: Contribution to journal › Article › Research › peer-review
Open Access4 Citations (Scopus) -
Beyond smoothing: Unsupervised graph representation learning with edge heterophily discriminating
Liu, Y., Zheng, Y., Zhang, D., Lee, V. C. & Pan, S., 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). Washington DC USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 4516-4524 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 4).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile62 Citations (Scopus) -
Learning urban region representations with POIs and hierarchical graph infomax
Huang, W., Zhang, D., Mai, G., Guo, X. & Cui, L., Feb 2023, In: ISPRS Journal of Photogrammetry and Remote Sensing. 196, p. 134-145 12 p.Research output: Contribution to journal › Article › Research › peer-review
45 Citations (Scopus)