deepstruct - linking deep learning and graph theory.
Julian StierMichael GranitzerPublished in: CoRR (2021)
Keyphrases
- graph theory
- deep learning
- unsupervised feature learning
- unsupervised learning
- graph theoretical
- machine learning
- graph based representations
- social network analysis
- mental models
- complex networks
- combinatorial optimization
- weakly supervised
- maximal cliques
- graph properties
- natural images
- higher order
- feature space
- training data
- feature selection