Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks.
Arijit SehanobishNeal G. RavindraDavid van DijkPublished in: AAAI (2021)
Keyphrases
- neural network
- graph theoretic
- graph representation
- connected components
- random walk
- fuzzy logic
- pattern recognition
- structured data
- graph theory
- spanning tree
- graph structure
- artificial neural networks
- directed graph
- multi layer
- multi layer perceptron
- random graphs
- dynamical behavior
- fuzzy systems
- fault diagnosis
- back propagation
- genetic algorithm