Awesome
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={},
number={},
pages={1-1},
doi={10.1109/TCSVT.2024.3376720}}