Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.
Weijia ZhangLe ZhangJindong HanHao LiuYanjie FuJingbo ZhouYu MeiHui XiongPublished in: KDD (2024)
Keyphrases
- spatio temporal
- telecommunication networks
- internet traffic
- average degree
- network resources
- spatial and temporal
- network structure
- network traffic
- spatio temporal data
- random walk
- social networks
- traffic engineering
- transportation systems
- moving objects
- high speed networks
- graph theory
- movement patterns
- artificial neural networks
- image sequences
- edge weights
- space time
- network analysis
- complex networks
- directed graph
- computer networks
- graph structure
- betweenness centrality
- fully connected
- graph representation
- bipartite graph
- traffic patterns
- citation networks
- clustering coefficient
- traffic network
- ip addresses
- graph structures
- traffic conditions
- weighted graph
- deep learning
- travel time
- small world