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Towards the Explanation of Graph Neural Networks in Digital Pathology
  with Information Flows

Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows

18 December 2021
Junchi Yu
Tingyang Xu
Ran He
ArXivPDFHTML

Papers citing "Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows"

4 / 4 papers shown
Title
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
30
25
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
115
142
0
05 Feb 2021
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal
  Cancer Histology Images
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
27
173
0
03 Sep 2019
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