Assessing the Interplay of Attributes in Dementia Prediction Through the Integration of Graph Embeddings and Unsupervised Learning.
Pablo ZubastiAntonio BerlangaMiguel A. PatricioJosé Manuel MolinaPublished in: IWINAC (2024)
Keyphrases
- unsupervised learning
- dimensionality reduction
- prediction accuracy
- supervised learning
- attributed graphs
- graph theoretic
- feature selection
- graph structure
- directed graph
- communities in social networks
- graph representation
- graph model
- object recognition
- prediction algorithm
- weighted graph
- prediction error
- low dimensional
- neural network
- bipartite graph
- semi supervised
- graph theory
- random walk
- directed acyclic graph
- text classification
- machine learning
- data integration
- graph databases
- euclidean space
- manifold learning
- attribute values
- structured data