Supervised Attention Using Homophily in Graph Neural Networks.
Michail ChatzianastasisGiannis NikolentzosMichalis VazirgiannisPublished in: CoRR (2023)
Keyphrases
- neural network
- artificial neural networks
- pattern recognition
- graph theory
- structured data
- graph structure
- supervised learning
- neural network model
- semi supervised classification
- weighted graph
- back propagation
- random walk
- social networks
- bipartite graph
- graph representation
- graph model
- learning algorithm
- unsupervised learning
- directed graph
- graph matching
- multilayer perceptron
- recurrent neural networks
- visual attention
- genetic algorithm
- fuzzy systems
- semi supervised
- graph theoretic
- machine learning
- feed forward
- training set
- multi layer
- directed acyclic graph
- fault diagnosis
- graph clustering