AEGNN-M:A 3D Graph-Spatial Co-Representation Model for Molecular Property Prediction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3368608
Abstract: Improving the drug development process can expedite the introduction of more novel drugs that cater to the demands of precision medicine. Accurately predicting molecular properties remains a fundamental challenge in drug discovery and development. Currently,… read more here.
Keywords: aegnn; representation model; spatial representation; graph spatial ... See more keywords
Traffic Flow Prediction Based on Dynamic Graph Spatial-Temporal Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11112528
Abstract: More accurate traffic prediction can further improve the efficiency of intelligent transportation systems. However, the complex spatiotemporal correlation issues in transportation networks pose great challenges. In the past, people have carried out a great deal… read more here.
Keywords: graph spatial; network; dynamic graph; traffic ... See more keywords