BikeNet: Accurate Bike Demand Prediction Using Graph Neural Networks for Station Rebalancing.
Ruiying GuoZhihan JiangJingchun HuangJianrong TaoCheng WangJonathan LiLongbiao ChenPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Keyphrases
- neural network
- prediction accuracy
- fuzzy logic
- prediction model
- high quality
- prediction algorithm
- prediction error
- artificial neural networks
- graph representation
- multi layer perceptron
- random walk
- graph partitioning
- weighted graph
- graph theory
- neural network model
- bipartite graph
- artificial neural networks to predict
- neural nets
- pattern recognition
- self organizing maps
- lead time
- genetic algorithm
- neural networks and support vector machines
- radial basis function network
- high accuracy
- directed acyclic graph
- graph structure
- directed graph
- feed forward
- graph model
- back propagation
- semi supervised
- graph theoretic
- connected components
- protein function prediction