Network Representation learning Benchmarks

This repository provides evaluation scripts and datasets with train/test splits for the paper, Network Representation Learning: Consolidation and Renewed Bearing, arXiv preprint arXiv:1905.00987 (2019). Here is the link to the paper

Requirements

environment.yml contains the necessary virtualenv requirements for running all the scripts in the repository.

Citation

If you find our paper or the code relevant and useful for your research, we request you to cite our paper

@article{gurukar2019network,
  title={Network Representation Learning: Consolidation and Renewed Bearing},
  author={Gurukar, Saket and Vijayan, Priyesh and Srinivasan, Aakash and Bajaj, Goonmeet and Cai, Chen and Keymanesh, Moniba and Kumar, Saravana and Maneriker, Pranav and Mitra, Anasua and Patel, Vedang and Ravindran, Balaraman and Parthasarathy, Srinivasan },
  journal={arXiv preprint arXiv:1905.00987},
  year={2019}
}