deepstruct - linking deep learning and graph theory.
Julian StierMichael GranitzerPublished in: Softw. Impacts (2022)
Keyphrases
- graph theory
- deep learning
- unsupervised learning
- graph theoretical
- machine learning
- graph based representations
- unsupervised feature learning
- complex networks
- social network analysis
- deep architectures
- weakly supervised
- mental models
- maximal cliques
- graph properties
- combinatorial optimization
- text classification
- higher order
- search space
- face recognition