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MXMNet

imported

therapeutics/mxmnet

Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures" (NeurIPS 2020 Workshop)

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
computational-biology · deep-learning · drug-discovery · geometric-deep-learning · graph-neural-networks · machine-learning
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

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    [TMLR 2024 J2C Certification] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

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    Python package for graph neural networks in chemistry and biology

  • PDGrapherdrug-discovery · geometric-deep-learning · graph-neural-networks

    Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

  • TxGNNdrug-discovery · geometric-deep-learning · graph-neural-networks

    TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

  • FlowMolcomputational-biology · drug-discovery · graph-neural-networks

    Mixed continous/categorical flow-matching model for de novo molecule generation.

sources
  1. api.github.com/repos/zetayue/MXMNet
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-11-15, 72 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/10.json→ .entries["mxmnet"]

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