Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting.
Guojun LiangPrayag TiwariSlawomir NowaczykStefan ByttnerFernando Alonso-FernandezPublished in: CoRR (2023)
Keyphrases
- spatio temporal
- neural network
- genetic algorithm
- graph theory
- artificial neural networks
- spatial and temporal
- directed acyclic graph
- random walk
- bipartite graph
- graph structure
- multi layer
- graph representation
- diffusion process
- fuzzy logic
- image segmentation
- exchange rate
- diffusion model
- short term load forecasting
- neural nets
- structured data
- back propagation
- dynamic environments
- fault diagnosis
- anisotropic diffusion
- support vector regression
- weighted graph
- causal models
- causal relationships
- graphical models
- denoising
- long term
- causal graph
- learning algorithm