https://github.com/priba/hierarchicalSGE

Hierarchical Stochastic Graphlet Embedding
https://github.com/priba/hierarchicalSGE

classification embedding graph

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Hierarchical Stochastic Graphlet Embedding

• Host: GitHub
• URL: https://github.com/priba/hierarchicalSGE
• Owner: priba
• License: mit
• Created: 2017-12-11T12:00:09.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-11-13T13:51:09.000Z (about 5 years ago)
• Last Synced: 2024-08-01T17:24:20.053Z (4 months ago)
• Topics: classification, embedding, graph
• Language: MATLAB
• Size: 70.3 KB
• Stars: 4
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-graph-classification - [Matlab Reference

README

        
# Hierarchical Stochastic Graphlet Embedding

## Methodology

### Stochastic Graphlet Embedding

* Anjan Dutta and Hichem Sahbi, "[High Order Stochastic Graphlet Embedding for Graph-Based Pattern Recognition](https://arxiv.org/pdf/1702.00156.pdf)", arXiv preprint arXiv:1702.00156, 2017.

### Pyramidal Stochastic Graphlet Embedding

* Anjan Dutta, Pau Riba, Josep Lladós and Alicia Fornés, "[Pyramidal Stochastic Graphlet Embedding for Document Pattern Classification](http://www.cvc.uab.es/people/priba/assets/publi/conf/2017_ICDAR_ADutta.pdf)", ICDAR, pp.33-38, 2017.

### Hierarchical Stochastic Graphlet Embedding

* Adjacency matrix of the whole hierarchical representation.

* Concatenate combinations oflevels with hierarchical edges.

## Requirements

* [Matlab BGL](https://es.mathworks.com/matlabcentral/fileexchange/10922-matlabbgl)

* [VLFEAT](http://www.vlfeat.org/)

* [LIBSVM](https://www.csie.ntu.edu.tw/~cjlin/libsvm/)

Please, set the path to the corresponding libraries in the file [set_paths.m](https://github.com/priba/hierarchicalSGE/blob/master/libs/set_paths.m).

## Datasets

Collection of datasets to test: 

- [X] MUTAG

- [X] PTC

- [X] PROTEINS

- [X] NCI1

- [X] NCI109

- [X] D & D

- [X] MAO

## Paper

Submitted to .... (SOON)

## Authors

* [Pau Riba](http://www.cvc.uab.es/people/priba/) ([@priba](https://github.com/priba))

* [Anjan Dutta](https://sites.google.com/site/2adutta/) ([@AnjanDutta](https://github.com/AnjanDutta))