Adapting to Change: Robust Counterfactual Explanations in Dynamic Data
Landscapes

Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes

4 August 2023

Mario Villaizán-Vallelado

Gjergji Kasneci

Papers citing "Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes"

4 / 4 papers shown

Title
Robust Stochastic Graph Generator for Counterfactual Explanations Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo CML 6 3 0 18 Dec 2023
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 27 30 0 21 Oct 2022
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 110 142 0 05 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020