From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond.
Andi HanDai ShiLequan LinJunbin GaoPublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- neural network
- recurrent networks
- network architecture
- diffusion process
- recurrent neural networks
- nonlinear dynamics
- neural model
- graph structure
- artificial neural networks
- fuzzy logic
- feed forward
- graph theory
- associative memory
- graph representation
- anisotropic diffusion
- neural network model
- connectionist models
- directed graph
- graph model
- learning rules
- random walk
- pattern recognition
- bipartite graph
- connected components
- structured data
- genetic algorithm
- neural computation
- neural learning
- neural fuzzy
- diffusion processes
- dynamic model
- multilayer perceptron
- graph mining
- fuzzy systems
- neural models
- heat kernel
- biologically inspired
- hebbian learning
- information propagation
- edge detection