Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting.
Hongjie ChenRyan A. RossiSungchul KimKanak MahadikHoda EldardiryPublished in: PAKDD (6) (2024)
Keyphrases
- neural network
- artificial neural networks
- evolving graphs
- pattern recognition
- connectionist systems
- graph representation
- small scale
- graph theory
- graph model
- graph mining
- recurrent neural networks
- real life
- graph structure
- random walk
- back propagation
- structured data
- neural network model
- weighted graph
- graph theoretic
- graph data
- dependency graph
- neural nets
- graph matching
- directed graph
- connected components
- long term
- graph based algorithm
- massive graphs
- neuro fuzzy
- graph construction
- activation function
- feed forward
- self organizing maps
- graphical models
- real world