Edge-based sequential graph generation with recurrent neural networks.
Davide BacciuAlessio MicheliMarco PoddaPublished in: CoRR (2020)
Keyphrases
- recurrent neural networks
- neural network
- feed forward
- recurrent networks
- reservoir computing
- complex valued
- graph representation
- echo state networks
- feedforward neural networks
- graph theory
- long short term memory
- cascade correlation
- nonlinear dynamic systems
- artificial neural networks
- random walk
- neural model
- graph model
- graph structure
- weighted graph
- graph databases
- real time
- artificial intelligence
- graph matching
- graph mining
- hidden layer
- data mining
- bipartite graph
- genetic algorithm
- active contours
- chaotic time series
- reinforcement learning
- neural models
- back propagation
- structured data
- directed graph