Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring.
Efrén Rama-ManeiroJuan Carlos VidalManuel LamaPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- echo state networks
- recurrent networks
- neural network
- feed forward
- reservoir computing
- graph theory
- complex valued
- real time
- directed graph
- fully connected
- small world
- hidden layer
- artificial neural networks
- bipartite graph
- cascade correlation
- feedforward neural networks
- monitoring system
- spectral embedding
- average degree
- social networks
- graph embedding
- random walk
- network structure
- nonlinear dynamic systems
- neural model
- edge weights
- community discovery
- graph layout
- spiking neural networks
- complex networks
- neural models
- genetic algorithm
- vector space
- deep learning
- nodes of a graph
- network architecture