A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring.
Stefan BloemheuvelJurgen van den HoogenMartin AtzmuellerPublished in: CoRR (2021)
Keyphrases
- computational framework
- neural network
- signal processing
- random walk
- directed graph
- graph structure
- graph theory
- bipartite graph
- real world
- real time
- connected components
- graph representation
- graph mining
- genetic algorithm
- structured data
- computational model
- image processing
- machine learning
- directed acyclic graph
- graph theoretic
- random graphs
- spanning tree
- graph model
- graph structures
- graph matching
- pairwise
- range data
- fourier transform
- filter bank
- sensor data
- self organizing maps
- high level