SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.
Yue JiangXiucheng LiYile ChenShuai LiuWeilong KongAntonis F. LentzakisGao CongPublished in: ICDE (2024)
Keyphrases
- information propagation
- diffusion process
- network structure
- small world
- spanning tree
- directed graph
- graph representation
- graph mining algorithms
- network configuration
- fully connected
- path length
- information diffusion
- network model
- computer networks
- social networks
- graph model
- neural network
- complex networks
- structured data
- massive scale
- peer to peer
- artificial neural networks
- degree distribution
- clustering coefficient
- densely connected
- arima model
- attack graph
- overlapping communities
- wireless sensor networks
- strongly connected
- graph structure
- scale free
- neuro fuzzy
- graph theory
- directed acyclic graph