openmedical/registry
← registry

MoleRec

imported

software/molerec

The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
combinatorial-drug-recommendation · electronic-health-records · medical-records · medication-combination-prediction · medication-combination-recommendation · molecule-representation-learning · recommender-system
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

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Basic Recommender System that provides Content Based Filtering or Product based Recommendations over MovieLens Movies data-set to be used with native and AWS EMR Hadoop

  • skywalkRrecommender-system

    code for Gogleva et al manuscript

  • Airmed Foundation's IPFS + Hyperledger Fabric web client

  • androidmedical-records

    Sparrow Android App - Sparrow Mesh and offline features

  • blockmrsmedical-records

    BlockMRS is a privacy concious, decentralized, blockchain-backed, medical record system for the 21st Century. It stores patient records in IPFS using state-of-the art asymetric encryption giving…

  • ccda-parsermedical-records

    Python CCDA parsing engine

sources
  1. api.github.com/repos/yangnianzu0515/MoleRec
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-06-08, 69 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/12.json→ .entries["molerec"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.