Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction.
Senzhang WangMeiyue ZhangHao MiaoZhaohui PengPhilip S. YuPublished in: ACM Trans. Intell. Syst. Technol. (2022)
Keyphrases
- spatio temporal
- multiscale
- link formation
- power law
- telecommunication networks
- internet traffic
- small world
- prediction accuracy
- traffic engineering
- betweenness centrality
- network resources
- random walk
- high speed networks
- fully connected
- average degree
- edge weights
- spatial and temporal
- complex networks
- coarse to fine
- image sequences
- spatio temporal data
- scale space
- social networks
- traffic flow
- graph theory
- bipartite graph
- network traffic
- graph structure
- graph structures
- graph layout
- traffic network
- overlapping communities
- movement patterns
- image representation
- regression model
- transportation networks
- computer networks
- road network
- spanning tree
- weighted graph
- network structure
- shortest path
- citation networks
- ip addresses
- correlation coefficient
- differentiated services
- biological networks
- moving objects
- graph mining
- network analysis