SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.
Yue JiangXiucheng LiYile ChenShuai LiuWeilong KongAntonis F. LentzakisGao CongPublished in: CoRR (2024)
Keyphrases
- complex networks
- graph theory
- network structure
- small world
- protein interaction networks
- scale free
- social networks
- diffusion process
- short term
- random walk
- random graphs
- communication networks
- multivariate time series
- long term
- dynamic networks
- network size
- strongly connected
- neural network
- information diffusion
- information propagation
- graph representation
- graph mining
- directed acyclic graph
- network model
- anisotropic diffusion
- bipartite graph
- computer networks
- directed graph
- structured data
- wireless sensor networks