Motif Prediction with Graph Neural Networks.
Maciej BestaRaphael GrobCesare MiglioliNicola BernoldGrzegorz KwasniewskiGabriel GjiniRaghavendra KanakagiriSaleh AshkboosLukas GianinazziNikoli DrydenTorsten HoeflerPublished in: CoRR (2021)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- pattern recognition
- artificial neural networks to predict
- neural networks and support vector machines
- multi layer perceptron
- neural network ensemble
- prediction algorithm
- graph structure
- radial basis function network
- neural network model
- graph theoretic
- recurrent neural networks
- back propagation
- directed graph
- graph theory
- graph databases
- prediction error
- fuzzy logic
- graph partitioning
- graph model
- predictive model
- graph mining
- weighted graph
- chaotic time series
- multilayer perceptron
- graph matching
- connected components
- artificial neural networks
- directed acyclic graph
- graph representation
- spanning tree
- variable length
- structured data
- multi layer
- bipartite graph
- self organizing maps
- fault diagnosis