Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications.
Ming LiAlessio MicheliYu Guang WangShirui PanPietro LióGiorgio Stefano GneccoMarcello SanguinetiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- neural network
- mathematical models
- graph theory
- neural network model
- representational power
- theoretical models
- data structure
- graph theoretic
- computational models
- machine learning algorithms
- special issue
- worst case
- probabilistic model
- computational model
- directed graph
- theoretical analysis
- fuzzy logic
- neural nets
- learning models
- computational cost
- significant improvement
- linear algebra
- random graphs
- learned models
- social networks
- learning algorithm