Partially View-aligned Representation Learning via Cross-view Graph Contrastive Network

This repo contains the demo code and data of our IEEE TCSVT'2024 paper Partially View-aligned Representation Learning via Cross-view Graph Contrastive Network.

IEEE Xplore: Partially View-aligned Representation Learning via Cross-view Graph Contrastive Network

Due to file size limitations, we have only uploaded two datasets. If you require additional datasets, please feel free to contact us.

Requirements

pytorch>=2.0.1

numpy>=1.25.2

scikit-learn>=1.3.0

Reference

If you find our work useful in your research, please consider citing:

@ARTICLE{10471595,
  author={Wang, Yiming and Chang, Dongxia and Fu, Zhiqiang and Wen, Jie and Zhao, Yao},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={Partially View-Aligned Representation Learning via Cross-View Graph Contrastive Network}, 
  year={2024},
  volume={34},
  number={8},
  pages={7272-7283}}