Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting.
Tanwi MallickPrasanna BalaprakashEric RaskJane MacFarlanePublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- graph partitioning
- partitioning algorithm
- graph model
- image segmentation
- neural network
- feed forward
- recurrent networks
- complex valued
- normalized cut
- image processing
- spectral clustering
- data clustering
- weighted graph
- clustering algorithm
- spectral graph partitioning
- reservoir computing
- artificial neural networks
- echo state networks
- spectral graph
- graphical models
- min cut