Convolutional Neural Networks on Manifolds: From Graphs and Back.
Zhiyang WangLuana RuizAlejandro RibeiroPublished in: IEEECONF (2022)
Keyphrases
- convolutional neural networks
- convolutional network
- manifold learning
- graph matching
- graph clustering
- arbitrary dimension
- low dimensional
- euclidean space
- graph theory
- high dimensional
- graph theoretic
- subgraph isomorphism
- undirected graph
- graph kernels
- graph structure
- riemannian manifolds
- random graphs
- graph representation
- geometric structure
- data sets
- directed graph
- high dimensional data
- semi supervised
- probabilistic model
- pattern recognition