SGDAN - A Spatio-Temporal Graph Dual-Attention Neural Network for Quantified Flight Delay Prediction.
Ziyu GuoGuangxu MeiShijun LiuLi PanLei BianHongwu TangDiansheng WangPublished in: Sensors (2020)
Keyphrases
- spatio temporal
- neural network
- prediction model
- prediction accuracy
- neural network ensemble
- space time
- weighted graph
- graph representation
- structured data
- graph theory
- protein function prediction
- global exponential stability
- artificial neural networks
- moving objects
- spatial and temporal
- directed graph
- image sequences
- graph structure
- chaotic time series
- genetic algorithm
- multi layer perceptron
- graph model
- associative memory
- bipartite graph
- graph matching
- pattern recognition
- linear programming
- feed forward
- back propagation
- computer vision
- space shuttle
- predictive model
- self organizing maps
- activation function
- neural network model
- graph databases
- graph mining
- prediction error
- human actions