GraphNeT: Graph neural networks for neutrino telescope event reconstruction.
Andreas SøgaardRasmus F. ØrsøeLeon BozianuMorten HolmKaare Endrup IversenTim GuggenmosMartin Ha MinhPhilipp EllerTroels C. PetersenPublished in: CoRR (2022)
Keyphrases
- neural network
- dependency graph
- pattern recognition
- graph structure
- artificial neural networks
- event detection
- graph model
- genetic algorithm
- graph partitioning
- graph theoretic
- image reconstruction
- three dimensional
- compressed sensing
- graph matching
- random walk
- neural nets
- event driven
- weighted graph
- reconstruction method
- recurrent neural networks
- neural network model
- high resolution
- x ray
- back propagation
- discrete tomography
- link analysis
- fuzzy systems
- bipartite graph
- multilayer perceptron
- feed forward
- fault diagnosis
- structured data