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GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network
  Explanations

GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations

28 September 2023
Kenza Amara
Mennatallah El-Assady
Rex Ying
ArXivPDFHTML

Papers citing "GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations"

4 / 4 papers shown
Title
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng
Farhad Shirani
Zhuomin Chen
Chaohao Lin
Wei Cheng
Wenbo Guo
Dongsheng Luo
AAML
28
0
0
03 Oct 2024
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Antonio Longa
Steve Azzolin
G. Santin
G. Cencetti
Pietro Lio'
Bruno Lepri
Andrea Passerini
42
27
0
27 Oct 2022
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
162
589
0
31 Dec 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
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
157
1,748
0
02 Mar 2017
1