Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction.
Qinge XieTiancheng GuoYang ChenYu XiaoXin WangBen Y. ZhaoPublished in: CIKM (2020)
Keyphrases
- deep learning
- real time
- high speed networks
- internet traffic
- high speed
- transportation systems
- traffic engineering
- telecommunication networks
- prediction accuracy
- transportation networks
- network resources
- graph structures
- vehicle speed
- network traffic
- prediction model
- graph structure
- ip addresses
- unsupervised feature learning
- community discovery
- fully connected
- graph theory
- bipartite graph
- network structure
- social networks
- graph layout
- network analysis
- differentiated services
- road network
- computer networks
- traffic safety
- complex networks
- traffic patterns
- traffic network
- probabilistic model
- deep belief networks
- degree distribution
- unsupervised learning
- small world
- weighted graph
- traffic management
- traffic conditions
- graph mining
- edge weights
- protein interaction