ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed.
Cheonbok ParkChunggi LeeHyojin BahngYunwon TaeSeungmin JinKihwan KimSungahn KoJaegul ChooPublished in: CIKM (2020)
Keyphrases
- dynamically changing
- spatio temporal
- small world
- edge weights
- spatial and temporal
- traffic patterns
- average degree
- social networks
- short term
- directed edges
- random graphs
- vehicle speed
- network structure
- road network
- transportation networks
- real time
- moving objects
- graph representation
- random walk
- graph structure
- fully connected
- network analysis
- high speed
- overlapping communities
- graph layout
- transport network
- graph model
- computer vision
- space time
- structured data
- directed graph
- graph theory
- neural network
- cellular networks
- road surface
- prediction model
- shop floor
- weighted graph
- graph structures
- traffic management
- community detection
- spatio temporal data
- graph mining
- undirected graph