GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network.
Srikrishna IyerTeck-Hou TengPublished in: CoRR (2023)
Keyphrases
- generative model
- small world
- sparsely connected
- computer networks
- fully connected
- unsupervised learning
- network structure
- network model
- graphical representation
- graph theory
- communication networks
- peer to peer
- network traffic
- non stationary
- complex networks
- strongly connected
- clustering coefficient
- directed graph
- graph representation
- spanning tree
- graph structure
- graph model
- edge weights
- graph mining
- path length
- multivariate time series
- protein interaction networks
- random walk
- image processing
- link prediction