Network embedding algorithms implementation with PyTorch.
This implementation runs with Anaconda3.
This repository contains source code of the following papers:
Homepage Augmentation by Predicting Links in Heterogeneous Networks. Jianming Lv, Jiajie Zhong, Weihang Chen, Qinzhe Xiao, Zhenguo Yang, and Qing Li. CIKM 2018. demo_ehwalk.py Dataset
ACE: Ant Colony Based Multi-Level Network Embedding for Hierarchical Graph Representation Learning. Jianming Lv, Jiajie Zhong, Jintao Liang, and Zhenguo Yang. IEEE Access. demo_ace.py
Setup the environment
$ cd src
$ pip install -r requirements.txt
$ python setup.py build_ext --inplace
Run demos
$ python demo_deepwalk.py
$ python demo_harp.py
$ python demo_ace.py
Under construction...
- Overall introduction
- Compile C++ extensions
- Demos
- Load datasets
- Adapt your own coarsening algorithm to HARP or ACE
- Adapt your own network embedding algorithm to HARP
- Adapt your own network embedding algorithm to ACE
Under construction...
Under construction...
If you have any question, please create an issue, or contact [email protected].