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Incorporating Biological Knowledge with Factor Graph Neural Network for
  Interpretable Deep Learning

Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning

3 June 2019
Tianle Ma
A. Zhang
    FaML
ArXiv (abs)PDFHTML

Papers citing "Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning"

5 / 5 papers shown
Title
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis:
  A review
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review
Lingchao Mao
Hairong Wang
Leland S. Hu
Nhan L Tran
Peter D Canoll
Kristin R Swanson
Jing Li
122
6
0
12 Jan 2024
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan
Haifei Guan
Aikaterini Melliou
Yuqi Wang
Qianhui Sun
...
Qi Huang
Jiefu Tan
Qinwang Xing
Peiwu Qin
Dongmei Yu
NAI
104
15
0
31 Jul 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation
  Metrics
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Yiqiao Li
Jianlong Zhou
Sunny Verma
Fang Chen
XAI
93
40
0
26 Jul 2022
A systematic review of biologically-informed deep learning models for
  cancer: fundamental trends for encoding and interpreting oncology data
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
Magdalena Wysocka
Oskar Wysocki
Marie Zufferey
Dónal Landers
André Freitas
AI4CE
112
28
0
02 Jul 2022
Explainable Machine Learning with Prior Knowledge: An Overview
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh
Sebastian Müller
Matthias Jakobs
Vanessa Toborek
Hanxiao Tan
Raphael Fischer
Pascal Welke
Sebastian Houben
Laura von Rueden
XAI
82
28
0
21 May 2021
1