GraphNeT: Graph neural networks for neutrino telescope event reconstruction.
Andreas SøgaardRasmus F. ØrsøeMorten HolmLeon BozianuAske RostedTroels C. PetersenKaare Endrup IversenAndreas HermansenTim GuggenmosPeter AndresenMartin Ha MinhLudwig NesteMoust HolmesAxel PonténKayla Leonard DeHoltonPhilipp EllerPublished in: J. Open Source Softw. (2023)
Keyphrases
- neural network
- pattern recognition
- directed graph
- event detection
- graph representation
- dependency graph
- image reconstruction
- random walk
- connected components
- three dimensional
- neural network model
- discrete tomography
- structured data
- back propagation
- graph theoretic
- high resolution
- event driven
- neural nets
- graph model
- weighted graph
- fault diagnosis
- graph structure
- graph based algorithm
- event recognition
- compressed sensing
- graph construction
- graph matching
- reconstruction error
- undirected graph
- spanning tree
- graph mining
- feed forward
- radial basis function
- temporal information
- learning algorithm