Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs.
Yurong LingZijing LiuJing-Hao XuePublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- high dimensional data
- survival analysis
- graph construction
- dimensionality reduction
- graph structure
- weighted graph
- neighborhood graph
- nearest neighbor
- manifold learning
- survival data
- low dimensional
- graph properties
- breast cancer
- high dimensionality
- regression model
- data sets
- data points
- high dimensional
- dimension reduction
- subspace clustering
- data analysis
- high dimensional datasets
- knn
- similarity search
- logistic regression
- random walk
- data mining methods
- variable selection
- high dimensional spaces
- predictive modeling
- machine learning
- data mining
- pattern recognition
- feature extraction
- input data
- risk assessment
- semi supervised
- training set