Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
Weijia ZhangHao LiuYanchi LiuJingbo ZhouHui XiongPublished in: CoRR (2019)
Keyphrases
- urban areas
- semi supervised
- neural network
- prediction model
- recurrent neural networks
- semi supervised classification
- graph construction
- label propagation
- semi supervised learning
- prediction accuracy
- feed forward
- labeled data
- unlabeled data
- chaotic time series
- graph theory
- graph representation
- back propagation
- graph model
- elman network
- hierarchical structure
- supervised learning
- knn
- fault diagnosis
- pairwise
- multi view
- pattern recognition
- prediction error
- weighted graph
- artificial neural networks
- recurrent networks
- directed acyclic graph
- neural network is trained
- unsupervised learning
- incremental learning
- structured data
- hierarchical clustering
- directed graph
- genetic algorithm
- parking lot
- active learning
- multi layer perceptron
- graph databases
- graph mining
- metric learning
- random walk
- multilayer perceptron
- neural network model