Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks.
Joel OskarssonTomas LandeliusMarc Peter DeisenrothFredrik LindstenPublished in: CoRR (2024)
Keyphrases
- weather forecasting
- neural network
- bayesian networks
- pattern recognition
- graph representation
- fuzzy logic
- graph theory
- multi layer
- artificial neural networks
- graph construction
- data driven
- directed graph
- multilayer perceptron
- uncertain data
- neural nets
- self organizing maps
- weighted graph
- graph model
- graph databases
- graph structure
- bipartite graph
- activation function
- genetic algorithm
- graph matching
- probabilistic model
- probability distribution
- random walk
- generative model
- posterior probability
- recurrent neural networks
- hierarchical structure
- fault diagnosis
- structured data
- training process
- neural network model
- hierarchical clustering
- knn
- probabilistic logic
- graph based algorithm
- learning algorithm
- gaussian process latent variable models