Causal Structure#
đź’ˇ Tip: Click the + in the first column to expand detailed method descriptions.
| Method | Year | Task | Model | Published | Code | |
|---|---|---|---|---|---|---|
| AVICI | 2022 | Causal Structure |
Amortized pre-trainingVariational Inference |
âś“ | GitHub | |
| Bicycle | 2023 | Causal Structure |
Graph interventionsOrnstein-Uhlenbeck processSteady-State ODE |
âś“ | GitHub | |
| CausCell | 2024 | Multi-component DisentanglementCausal StructureCombinatorial Effect PredictionContext TransferSeen Perturbation Prediction |
DiffusionAuxilary Classifiers |
âś“ | GitHub | |
| CIV | 2023 | Causal Structure |
Active LearningStructural Causal ModelDAG-Bayesian linear regression |
âś“ | âś— | |
| DAG-GNN | 2019 | Causal Structure |
Continuous optimisation for acyclicityGNN |
âś“ | GitHub | |
| DCD-FG | 2022 | Causal Structure |
Factor ModelDAGsLatent DAGs |
âś“ | GitHub | |
| DCDI | 2020 | Causal Structure |
Graph interventionsDNNNormalizing-Flows |
âś“ | GitHub | |
| DCI | 2021 | Causal Structure |
PC Algorithm |
âś“ | GitHub | |
| Dictys | 2023 | GRN InferenceCausal Structure |
Ornstein–Uhlenbeck processSteady-State ODE |
âś“ | GitHub | |
| discrepancy-VAE | 2023 | Multi-component DisentanglementSeen Perturbation PredictionCombinatorial Effect PredictionCausal Structure |
VAEDisentanglement via Virtual Counterfactuals |
âś“ | GitHub | |
| FLeCS | 2025 | Context TransferGRN InferenceCausal Structure |
ODEOptimal Transport |
âś— | GitHub | |
| GSFA | 2024 | Multi-component DisentanglementCausal StructureLinear Gene Programmes |
Factor AnalysisProbabilistic |
âś“ | GitHub | |
| NODAGS-Flow | 2023 | Causal Structure |
Graph interventionsDNNResidual Flow\nSteady-State ODE |
âś“ | GitHub | |
| NOTEARS-MLP | 2020 | Causal Structure |
Continuous optimisation for acyclicityDNN |
âś“ | GitHub | |
| NOTEARS | 2018 | Causal Structure |
Continuous optimisation for acyclicity |
âś“ | GitHub | |
| RENGE | 2023 | Context TransferGRN InferenceCausal Structure |
Regression model |
âś“ | GitHub | |
| RiTINI | 2024 | GRN InferenceCausal StructureContext Transfer |
Graph interventionsGraph-ODE |
âś“ | GitHub | |
| SAMS-VAE | 2023 | Multi-component DisentanglementCausal StructureSeen Perturbation PredictionCombinatorial Effect Prediction |
VAENB likelihoodConditional Latent EmbeddingsAddative ShiftSparse Mechanism Shift |
âś“ | GitHub | |
| scCausalVI | 2025 | Causal StructureUnsupervised DisentanglementSeen Perturbation PredictionContext TransferMulti-component DisentanglementPerturbation ResponsivenessDifferential Analysis |
Variational AutoencoderStructural Causal Model |
âś“ | GitHub | |
| SCCVAE | 2025 | Unseen Perturbation PredictionCausal Structure |
VAEVariational InferenceLatent Causal Structure |
âś— | GitHub | |
| SEA | 2024 | Causal Structure |
Amortized pre-trainingTransfomerGraph Attention |
âś“ | GitHub | |
| SENA | 2024 | Causal StructureMulti-component DisentanglementSeen Perturbation PredictionCombinatorial Effect Prediction |
Discrepancy-VAE architectureVAEPK Representations |
âś“ | GitHub | |
| svae-ligr | 2024 | Seen Perturbation PredictionContext TransferMulti-component DisentanglementCausal Structure |
VAENB likelihoodSparse Mechanism ShiftGenerative/Experience Replay |
âś“ | GitHub | |
| sVAE+ | 2023 | Seen Perturbation PredictionMulti-component DisentanglementCausal StructureNonlinear Gene Programmes |
VAENB likelihoodSparse Mechanism Shift |
âś“ | GitHub |