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Quantitative Evaluation of Explainable Graph Neural Networks for
  Molecular Property Prediction

Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction

1 July 2021
Jiahua Rao
Shuangjia Zheng
Yuedong Yang
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Papers citing "Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction"

3 / 3 papers shown
Title
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
14
8
0
16 Feb 2023
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
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
211
1,329
0
12 Feb 2018
1