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 24 (last one 4 months ago)

Stargazers 54 (0 this week)

Watchers 2 (0 this week)

Forks 10

License unknown

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RepositoryStats indexes 565,600 repositories, of these XieResearchGroup/Physics-aware-Multiplex-GNN is ranked #428,646 (24th percentile) for total stargazers, and #467,712 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,745/111,362.

XieResearchGroup/Physics-aware-Multiplex-GNN is also tagged with popular topics, for these it's ranked: machine-learning (#6,275/7699), graph-neural-networks (#399/559)

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

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The only known language in this repository is Python

updated: 2024-09-25 @ 01:11am, id: 644208824 / R_kgDOJmXYuA