# AAGSSL

**Repository Path**: huang-jiaxin123/aagssl

## Basic Information

- **Project Name**: AAGSSL
- **Description**: DATA for “Anchor-based Adaptive Similarity Graph Learning for Semi-supervised Classification”
- **Primary Language**: Matlab
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-01-18
- **Last Updated**: 2025-01-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: semi-supervised, classification, Adaptive-graph

## README

# AAGSSL

#### introduce
DATA for “Anchor-based Adaptive Similarity Graph Learning for Semi-supervised Classification”


#### Instructions for use

1.  open test_FAAGSSL
2.  Select datasets
3.  run

####
EMNIST is downloaded in https://www.westernsydney.edu.au/icns/resources/reproducible_research3/publication_support_materials2/emnist 
FAAGSSL is algorithm.

"Results" is about all graph.

####
For dataset, check, like MSRA25, MSRA25x is for original data X with label matrix as MSRA25y. Others is same as described above.