A survey on hypergraph neural networks: An in-depth and step-by-step guide
Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and
applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda …
applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda …
Graph Artificial Intelligence in Medicine
In clinical artificial intelligence (AI), graph representation learning, mainly through graph
neural networks and graph transformer architectures, stands out for its capability to capture …
neural networks and graph transformer architectures, stands out for its capability to capture …
Graph ai in medicine
Development of Interpretable Machine Learning Models for COVID-19 Drug Target Docking Scores Prediction
W Shi, M Murakoso, X Guo… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the extensive time and financial requirements incumbent on drug discovery,
computational approaches, such as protein-ligand docking predictions, are increasingly …
computational approaches, such as protein-ligand docking predictions, are increasingly …
Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets
W Shi, M Murakoso, X Guo, L **ong… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Emerging infectious diseases, such as coronavirus disease 2019 (COVID-19), pose a major
threat to public health and present a critical challenge for drug discovery. Due to the cost …
threat to public health and present a critical challenge for drug discovery. Due to the cost …