Spatio-Temporal Graph Neural Network with Hidden Confounders for Causal Forecast.
Xinxin LuoWei YinZhuang LiPublished in: ICCBR Workshops (2024)
Keyphrases
- spatio temporal
- neural network
- short term load forecasting
- random walk
- spatial and temporal
- moving objects
- graph structure
- observational data
- directed acyclic graph
- graph model
- pattern recognition
- graph theory
- space time
- graph representation
- graph theoretic
- neural network model
- connected components
- structured data
- fuzzy logic
- artificial neural networks
- causal relationships
- recurrent neural networks
- bipartite graph
- neural nets
- bp neural network
- directed graph
- image sequences
- prediction model
- human motion
- graph mining
- graph matching
- causal models
- short term
- fault diagnosis
- causal graph
- load forecasting
- back propagation