A Manifold Perspective on the Statistical Generalization of Graph Neural Networks.
Zhiyang WangJuan CerviñoAlejandro RibeiroPublished in: CoRR (2024)
Keyphrases
- neural network
- graph laplacian
- neighborhood graph
- statistical analysis
- graph embedding
- viewpoint
- graph representation
- graph structure
- genetic algorithm
- weighted graph
- graph theory
- random walk
- pattern recognition
- artificial neural networks
- low dimensional
- high dimensional
- graph matching
- graph theoretic
- structured data
- graph model
- recurrent neural networks
- spanning tree
- directed acyclic graph
- graph mining
- fuzzy systems
- graph construction
- activation function
- training process
- statistical models
- multi layer
- fault diagnosis
- bipartite graph
- neural nets
- multilayer perceptron
- directed graph
- information theoretic