From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond.
Andi HanDai ShiLequan LinJunbin GaoPublished in: CoRR (2023)
Keyphrases
- neural network
- network architecture
- diffusion process
- recurrent networks
- neural model
- nonlinear dynamics
- connectionist models
- graph theory
- back propagation
- pattern recognition
- structured data
- directed graph
- graph structure
- associative memory
- diffusion processes
- learning rules
- neural network model
- random walk
- artificial neural networks
- hebbian learning
- information propagation
- neural learning
- neural fuzzy
- weighted graph
- graph representation
- dynamical systems
- graph model
- anisotropic diffusion
- recurrent neural networks
- multiscale
- graph databases
- diffusion model
- graph mining
- bipartite graph
- multilayer perceptron
- connected components