FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
Kun YiQi ZhangWei FanHui HeLiang HuPengyang WangNing AnLongbing CaoZhendong NiuPublished in: NeurIPS (2023)
Keyphrases
- random walk
- graph structure
- graph representation
- viewpoint
- connected components
- structured data
- statistical tests
- genetic algorithm
- graph theoretic
- graph model
- graph theory
- graph matching
- artificial neural networks
- bipartite graph
- neuro fuzzy
- link analysis
- graph mining
- graph databases
- clustering algorithm
- data sets
- graph data
- graph construction
- multivariate data