Graph dropout self-learning hierarchical graph convolution network for traffic prediction.
Qingjian NiWenqiang PengYuntian ZhuRuotian YePublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- directed graph
- network traffic
- graph theory
- graph structure
- small world
- graphical representation
- prediction accuracy
- structured data
- path length
- bipartite graph
- graph representation
- random walk
- fully connected
- random graphs
- graph theoretic
- undirected graph
- strongly connected
- directed acyclic graph
- link prediction
- complex networks
- neural network
- network traffic monitoring
- traffic analysis
- dynamic networks
- spanning tree
- graph model