MEGAN: Multi-Explanation Graph Attention Network

MEGAN: Multi-Explanation Graph Attention Network

23 November 2022

Pascal Friederich

Papers citing "MEGAN: Multi-Explanation Graph Attention Network"

10 / 10 papers shown

Title
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification Jonas Teufel Annika Leinweber Pascal Friederich 44 0 0 03 Apr 2025
OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System Roan Schellingerhout Francesco Barile N. Tintarev CML 55 0 0 17 Mar 2025
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations Roan Schellingerhout Francesco Barile Nava Tintarev 21 1 0 24 Sep 2024
Global Concept Explanations for Graphs by Contrastive Learning Jonas Teufel Pascal Friederich 36 1 0 25 Apr 2024
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Jonas Teufel Luca Torresi Pascal Friederich FAtt 19 1 0 25 May 2023
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 36 14 0 28 Jun 2022
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 30 8 0 26 May 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 592 0 31 Dec 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 172 1,775 0 02 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017