Model-agnostic Explanation
A "Model-Agnostic Explanation" is an explanation method that operates independently of the internal structure or assumptions of the underlying tutoring system model, thereby enabling interpretability across diverse models without requiring access to their parameters or architectures.
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20.3K
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1.4K
Authors
599
Institutions
Publications per year
2017–2026
315
Parents
320
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying, Dylan Bourgeois, Jiaxuan You et al. · arXiv (Cornell University) · 2019 · 698 citations · Full text
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Sapienza University of Rome
Rome, Italy
7 h-index
17 publications
447 citations
University College London
London, United Kingdom
5 h-index
7 publications
473 citations
University of Lisbon
Lisbon, Portugal
5 h-index
8 publications
632 citations

University of Pisa
Pisa, Italy
5 h-index
18 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
1.1K citations
Stanford University
Stanford, United States
4 h-index
5 publications
1.2K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
6 publications
395 citations
University of Oklahoma
Norman, United States
4 h-index
8 publications
380 citations
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Repository · 47 publications · 3.1K citations
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12 publications · 614 citations
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11 publications · 773 citations
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PRD · 5 publications · 297 citations
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5 publications · 265 citations
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