Stochastic Blockmodels meet Graph Neural Networks.
Nikhil MehtaLawrence CarinPiyush RaiPublished in: CoRR (2019)
Keyphrases
- neural network
- dynamic graph
- pattern recognition
- fuzzy logic
- directed graph
- graph structure
- neural nets
- structured data
- hopfield neural network
- graph theoretic
- neural network model
- artificial neural networks
- back propagation
- graph structures
- bipartite graph
- stochastic model
- graph model
- graph partitioning
- undirected graph
- graph theory
- dependency graph
- graph databases
- directed acyclic graph
- multi layer
- monte carlo
- sufficient conditions
- semi supervised
- genetic algorithm