Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction.
Lei BaiLina YaoSalil S. KanhereXianzhi WangWei LiuZheng YangPublished in: CIKM (2019)
Keyphrases
- recurrent networks
- spatio temporal
- recurrent neural networks
- prediction accuracy
- moving objects
- spatial and temporal
- feed forward
- graph theory
- weighted graph
- structured data
- spanning tree
- random walk
- prediction model
- biologically inspired
- network architecture
- graph representation
- machine learning
- directed acyclic graph
- spatio temporal data
- directed graph
- artificial intelligence
- neural network
- graph structure
- image sequences
- image segmentation
- deep learning
- genetic algorithm
- movement patterns