Graph structure and homophily for label propagation in Graph Neural Networks.
Maxence VandrommeSerge G. PetitonPublished in: MCSoC (2023)
Keyphrases
- graph structure
- label propagation
- neural network
- semi supervised
- semi supervised learning
- graphical models
- labeled data
- weighted graph
- pattern recognition
- label propagation algorithm
- spectral clustering
- class labels
- unlabeled data
- graph structures
- graph model
- graph construction
- graph representations
- community detection
- tree structure
- active learning
- pairwise constraints
- directed graph
- clustering method
- collaborative filtering
- pairwise
- dimensionality reduction
- text mining
- knn
- probabilistic model
- data mining