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1. illume illume Public

   [ICDM 2025] Explanations Go Linear: Post-hoc Explainability for Tabular Data with Interpretable Meta-Encoding

   Python 4 1

2. dine dine Public

   [IEEE TKDE] DINE: Dimensional Interpretability of Node Embeddings

   Jupyter Notebook 3

3. cp-ils cp-ils Public

   [IEEE Access] Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space

   Jupyter Notebook 2

4. disene disene Public

   [TMLR] Disentangled and Self-Explainable Node Representation Learning

   Python

5. illume-plus illume-plus Public

   [KDD 2026] Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions

   Jupyter Notebook 1