An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction.
Hao ZhouDongchun RenHuaxia XiaMingyu FanXu YangHai HuangPublished in: ICONIP (5) (2020)
Keyphrases
- spatio temporal
- neural network
- prediction model
- protein interaction
- prediction accuracy
- trajectories of moving objects
- object trajectories
- space time
- random walk
- spatial and temporal
- graph model
- prediction error
- multi layer perceptron
- graph theoretic
- spatio temporal data
- moving object databases
- human computer interaction
- neural network ensemble
- neural network is trained
- fuzzy logic
- motion trajectories
- artificial neural networks
- moving objects
- image sequences
- movement patterns
- elman network
- graph theory
- graph structure
- pattern recognition
- structured data
- connected components
- predictive model
- computer vision
- chaotic time series
- back propagation
- protein function prediction
- location prediction
- directed graph
- prediction algorithm
- bp neural network
- neural nets
- self organizing maps
- spatio temporal databases
- neural network model
- user interaction
- moving objects databases
- short term prediction