decagon
importedtherapeutics/decagon
Graph convolutional neural network for multirelational link prediction
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- mims-harvard
- Country
- unknown
- Homepage
- snap.stanford.edu/decagon
- Repository
- github.com/mims-harvard/decagon
- Documentation
- unknown
- Tags
- deep-learning · embeddings · graph-convolutional-networks · graph-neural-networks · pharmacology · representation-learning
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- geo-gcngraph-convolutional-networks
The official implementation of the SGCN architecture.
- OpenChemgraph-convolutional-networks
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
- icsg3drepresentation-learning
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)
- clinical-embeddingsembeddings
Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“
- medlocalgptembeddings
⚕️ Applying LLM-powered AI Agents to Support for Physical Rehabilitation & Telerehabilitation Therapists, Students, and Patients. Use EBSCO articles dataset; Embeddings; local/external LLMs…
- poar-research-assistantembeddings
AI research assistant for prosthetics, orthotics & rehabilitation robotics papers. RAG pipeline with streaming citations, structured summaries, terminology extraction, and paper comparison. Built…
- api.github.com/repos/mims-harvard/decagonretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-11-21, 474 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 →
/v1/entries/30.json→ .entries["decagon"]
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