Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks.
Asiye BaghbaniSaeed RahmaniNizar BouguilaZachary PattersonPublished in: ITSC (2023)
Keyphrases
- neural network
- passenger flow
- edge weights
- average degree
- fully connected
- social networks
- random walk
- overlapping communities
- graph representation
- pattern recognition
- fuzzy logic
- high speed
- neural network ensemble
- weighted graph
- genetic algorithm
- graph layout
- back propagation
- graph theory
- graph structure
- neural network model
- network analysis
- scheduling problem
- betweenness centrality
- complex networks
- learning algorithm
- neural nets
- artificial neural networks
- recent advances
- network structure
- protein interaction networks
- graph structures
- small world
- directed graph
- graph databases
- graph mining
- traffic flow