GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation

7 June 2022

Papers citing "GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation"

6 / 6 papers shown

Title
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 152 3 0 19 Dec 2023
Robust Stochastic Graph Generator for Counterfactual Explanations Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo CML 76 4 0 18 Dec 2023
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes Bardh Prenkaj Mario Villaizán-Vallelado Tobias Leemann Gjergji Kasneci 79 2 0 04 Aug 2023
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Jonas Teufel Luca Torresi Pascal Friederich FAtt 71 1 0 25 May 2023
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 71 8 0 23 Nov 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 135 33 0 21 Oct 2022