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Interpreting and Understanding Graph Convolutional Neural Network using
  Gradient-based Attribution Method

Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method

9 March 2019
Shangsheng Xie
Mingming Lu
    FAtt
    GNN
ArXivPDFHTML

Papers citing "Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method"

4 / 4 papers shown
Title
Improving Molecular Graph Neural Network Explainability with
  Orthonormalization and Induced Sparsity
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
Ryan Henderson
Djork-Arné Clevert
F. Montanari
17
26
0
11 May 2021
Interpreting Graph Neural Networks for NLP With Differentiable Edge
  Masking
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
M. Schlichtkrull
Nicola De Cao
Ivan Titov
AI4CE
23
214
0
01 Oct 2020
PREMIER: Personalized REcommendation for Medical prescrIptions from
  Electronic Records
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records
Suman Bhoi
M. Lee
W. Hsu
8
12
0
28 Aug 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,234
0
24 Nov 2016
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