PDGrapher
importedtherapeutics/pdgrapher
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- mims-harvard
- Country
- unknown
- Repository
- github.com/mims-harvard/PDGrapher
- Documentation
- unknown
- Tags
- causal-inference · drug-discovery · geometric-deep-learning · graph-neural-networks · perturbations · therapeutics
- 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.
- TxGNNdrug-discovery · geometric-deep-learning · graph-neural-networks · therapeutics
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
- Benchmarking-Single-Cell-Perturbationdrug-discovery · perturbations
Single-Cell (Perturbation) Model Library
- CIGAcausal-inference · drug-discovery · graph-neural-networks
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
- DeNSdrug-discovery · geometric-deep-learning · graph-neural-networks
[TMLR 2024 J2C Certification] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
- dgl-lifescidrug-discovery · geometric-deep-learning · graph-neural-networks
Python package for graph neural networks in chemistry and biology
- grapheindrug-discovery · geometric-deep-learning · graph-neural-networks
Protein Graph Library
- api.github.com/repos/mims-harvard/PDGrapherretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-10-03, 130 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/16.json→ .entries["pdgrapher"]
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