Zhang, Chunhui, Huang, Chao, Tian, Yijun, Wen, Qianlong, Ouyang, Zhongyu, Li, Youhuan, Ye, Yanfang, and Zhang, Chuxu. When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. Retrieved from https://par.nsf.gov/biblio/10495770. Proceedings of Machine Learning Research .

Zhang, Chunhui, Huang, Chao, Tian, Yijun, Wen, Qianlong, Ouyang, Zhongyu, Li, Youhuan, Ye, Yanfang, & Zhang, Chuxu. When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. Proceedings of Machine Learning Research, (). Retrieved from https://par.nsf.gov/biblio/10495770.

Zhang, Chunhui, Huang, Chao, Tian, Yijun, Wen, Qianlong, Ouyang, Zhongyu, Li, Youhuan, Ye, Yanfang, and Zhang, Chuxu. "When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations". Proceedings of Machine Learning Research (). Country unknown/Code not available: Fortieth International Conference on Machine Learning (ICML). https://par.nsf.gov/biblio/10495770.

@article{osti_10495770,
place = {Country unknown/Code not available}, title = {When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations}, url = {https://par.nsf.gov/biblio/10495770}, abstractNote = {}, journal = {Proceedings of Machine Learning Research}, publisher = {Fortieth International Conference on Machine Learning (ICML)}, author = {Zhang, Chunhui and Huang, Chao and Tian, Yijun and Wen, Qianlong and Ouyang, Zhongyu and Li, Youhuan and Ye, Yanfang and Zhang, Chuxu}, }