GALA
importedtherapeutics/gala
[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
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
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/LFhase/GALA
- Documentation
- unknown
- Tags
- causal-representation-learning · drug-discovery · graph-neural-networks · graph-representation-learning · invariant-learning · out-of-distribution-generalization
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- CIGAcausal-representation-learning · drug-discovery · graph-neural-networks · graph-representation-learning · invariant-learning · out-of-distribution-generalization
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
- BBARdrug-discovery · graph-neural-networks
Official Github for "Molecular generative model via retrosynthetically prepared chemical building block assembly" (Advanced Science)
- BindingAffinitydrug-discovery · graph-neural-networks
Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.
- DeNSdrug-discovery · graph-neural-networks
[TMLR 2024 J2C Certification] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
- dgl-lifescidrug-discovery · graph-neural-networks
Python package for graph neural networks in chemistry and biology
- DrugGENdrug-discovery · graph-neural-networks
Official implementation of DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
- api.github.com/repos/LFhase/GALAretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-08-25, 23 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/62.json→ .entries["gala"]
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