Transfer Entropy in Graph Convolutional Neural Networks.
Adrian MoldovanAngel CataronRazvan AndoniePublished in: CoRR (2024)
Keyphrases
- convolutional neural networks
- graph theory
- mutual information
- structured data
- convolutional network
- graph representation
- information theory
- connected components
- graph matching
- bipartite graph
- graph model
- directed graph
- minimal spanning tree
- graph mining
- transfer learning
- stable set
- weighted graph
- knowledge transfer
- np complete
- graph theoretic
- graph search
- fuzzy entropy
- information theoretic
- multiscale
- neural network