Skip to content

khoadoan/GraphOTSim

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Similarity Computation for Graphs

  • Doan & Machanda et al. Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings (GOTSim). SIGIR 2021. [Paper] [Slides] [Video]

Setup the environment

This repository requires python 3.7+ and conda environment. Please refer to requirements.txt file for the dependenencies.

Training and Evaluation GOTSim

GOTSim's training and evaluation processes are encapsulated inside the script `train_gotsim.py'. To train and evaluate using the provided 5-fold evaluation, simply run:

export PYTHONPATH=external/:python/:$PYTHONPATH
python python train_gotsim.py --basedir exp/final/PTC_ged/GOTSim/ --dataset data/PTC_ged/

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages