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GraphSVX: Shapley Value Explanations for Graph Neural Networks
v1v2 (latest)

GraphSVX: Shapley Value Explanations for Graph Neural Networks

18 April 2021
Alexandre Duval
Fragkiskos D. Malliaros
    FAtt
ArXiv (abs)PDFHTML

Papers citing "GraphSVX: Shapley Value Explanations for Graph Neural Networks"

1 / 51 papers shown
GraphLIME: Local Interpretable Model Explanations for Graph Neural
  Networks
GraphLIME: Local Interpretable Model Explanations for Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Q. Huang
M. Yamada
Yuan Tian
Dinesh Singh
D. Yin
Yi-Ju Chang
FAtt
436
430
0
17 Jan 2020
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