Author:
Liu Yunhui,Zhang Huaisong,He Tieke,Zheng Tao,Zhao Jianhua
Publisher
Springer Nature Switzerland
Reference39 articles.
1. Bielak, P., Kajdanowicz, T., Chawla, N.V.: Graph Barlow twins: a self-supervised representation learning framework for graphs. Knowl.-Based Syst. 256, 109631 (2022)
2. Chen, H., Zhao, Z., Li, Y., Zou, Y., Li, R., Zhang, R.: CSGCL: community-strength-enhanced graph contrastive learning. In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, pp. 2059–2067 (2023)
3. Dwibedi, D., Aytar, Y., Tompson, J., Sermanet, P., Zisserman, A.: With a little help from my friends: Nearest-neighbor contrastive learning of visual representations. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 9588–9597 (2021)
4. GE, C., Wang, J., Tong, Z., Chen, S., Song, Y., Luo, P.: Soft neighbors are positive supporters in contrastive visual representation learning. In: The Eleventh International Conference on Learning Representations (2023)
5. Grill, J.B., et al.: Bootstrap your own latent a new approach to self-supervised learning. In: Proceedings of the 34th International Conference on Neural Information Processing Systems. NIPS’20 (2020)