This repository is the implementation of "Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity".

Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, and Wei Wang. 2019. Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI (2019).

Download the data files from https://drive.google.com/drive/folders/1XWkQmrqQxwsZ9KvCZwcOyDgAVPfbDBM3?usp=sharing

Extract under /data and /save.

Install the following the tools and packages:

• python3: Assume python3 by default (use pip3 to install packages).
• numpy
• pandas
• scipy
• scikit-learn
• tensorflow (1.8.0 recommended)
• networkx==1.10 (NOT 2.1)
• beautifulsoup4
• lxml
• matplotlib
• seaborn
• colour
• pytz
• requests
• klepto

Reference commands: sudo pip3 install numpy pandas scipy scikit-learn tensorflow networkx==1.10 beautifulsoup4 lxml matplotlib seaborn colour pytz requests klepto

• If you see red lines under import, mark src and model/Siamese as Source Root, so that PyCharm can find those files.
• Mark src/Siamese/logs as Excluded, so that PyCharm won't spend time inspecting those logs.

Example commands to run our model:

cd model/Siamese
python3.5 run.py