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    • Jupyter Notebook
      0200Updated Dec 16, 2024Dec 16, 2024
    • CSS
      Other
      2001Updated Nov 21, 2024Nov 21, 2024
    • GraphXAIN

      Public
      This repository contains the official implementation and resources for the GraphXAIN: Narratives to Explain Graph Neural Networks (Cedro & Martens, 2024) research article.
      Jupyter Notebook
      MIT License
      0400Updated Nov 14, 2024Nov 14, 2024
    • Python
      MIT License
      0400Updated Jun 14, 2024Jun 14, 2024
    • NICE

      Public
      Python
      Apache License 2.0
      101000Updated Apr 5, 2023Apr 5, 2023
    • PreCoF

      Public
      Jupyter Notebook
      1200Updated Jan 26, 2023Jan 26, 2023
    • Python
      1000Updated Nov 7, 2022Nov 7, 2022
    • Counterfactual Explanations Benchmark
      Python
      MIT License
      2820Updated Sep 9, 2022Sep 9, 2022
    • Jupyter Notebook
      1300Updated Sep 15, 2021Sep 15, 2021
    • Projects

      Public
      HTML
      0000Updated Apr 20, 2021Apr 20, 2021
    • Binary node classification in bipartite graphs
      Python
      Other
      3000Updated Feb 18, 2021Feb 18, 2021
    • Replication materials for the paper "Comparing automated content analysis methods to distinguish issue communication by political parties on Twitter"
      Python
      MIT License
      1000Updated Feb 9, 2021Feb 9, 2021
    • edc

      Public
      Heuristic best-first algorithm for computing Evidence Counterfactuals (SEDC): explaining the model predictions of any classifier using a minimal set of features, such that removing these features results in a predicted class change.
      HTML
      4000Updated Jun 8, 2020Jun 8, 2020
    • Hybrid algorithm based on SEDC and SHAP for computing Evidence Counterfactuals (SHAP-Counterfactual): explaining the model predictions of any classifier using a minimal set of features, such that removing these features results in a predicted class change.
      Python
      4000Updated May 20, 2020May 20, 2020
    • Hybrid algorithm based on SEDC and LIME for computing Evidence Counterfactuals (LIME-Counterfactual): explaining the model predictions of any classifier using a minimal set of features, such that removing these features results in a predicted class change.
      Python
      4000Updated May 20, 2020May 20, 2020