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CIGA

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therapeutics/ciga

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

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

CIGA project image
GitHub preview card for LFhase/CIGA. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
causal-inference · causal-representation-learning · distribution-shift · drug-discovery · graph-neural-networks · graph-representation-learning · invariant-learning · out-of-distribution-generalization
Regulatory
unknown
built by · 3

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.

  • GALAcausal-representation-learning · drug-discovery · graph-neural-networks · graph-representation-learning · invariant-learning · out-of-distribution-generalization

    [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

  • PDGraphercausal-inference · drug-discovery · graph-neural-networks

    Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

  • CACHEcausal-inference · graph-neural-networks

    [ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.

  • 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

sources
  1. api.github.com/repos/LFhase/CIGA
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-08-28, 123 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/41.json→ .entries["ciga"]

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