Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.
Junchen YeLeilei SunBowen DuYanjie FuHui XiongPublished in: CoRR (2020)
Keyphrases
- transportation systems
- prediction accuracy
- transportation costs
- graph representation
- directed graph
- graph theory
- graph model
- prediction error
- random walk
- bipartite graph
- weighted graph
- image processing
- distribution network
- spanning tree
- application layer
- transportation problem
- graph data
- budget constraints
- inter layer
- transportation networks
- prediction algorithm
- graph theoretic
- connected components
- neural network
- graph mining
- directed acyclic graph
- prediction model
- graph structure