XieResearchGroup / Physics-aware-Multiplex-GNN

Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"

Date Created 2023-05-23 (about a year ago)

Commits 25 (last one 6 days ago)

Stargazers 53 (0 this week)

Watchers 2 (0 this week)

Forks 11

License unknown

Ranking

RepositoryStats indexes 579,555 repositories, of these XieResearchGroup/Physics-aware-Multiplex-GNN is ranked #442,071 (24th percentile) for total stargazers, and #476,089 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #83,992/115,123.

XieResearchGroup/Physics-aware-Multiplex-GNN is also tagged with popular topics, for these it's ranked: machine-learning (#6,445/7877), graph-neural-networks (#421/578), computational-chemistry (#78/101)

Other Information

Homepage URL: https://www.nature.com/articles/s41598-023-46382-8

All Topics

docking machine-learning computational-biology graph-neural-networks computational-chemistry geometric-deep-learning rna-structure-prediction protein-ligand-interactions

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25 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-11-05 @ 10:54am, id: 644208824 / R_kgDOJmXYuA