Enhancing Contrastive Learning on Graphs with Node Similarity

Author:

Chi Hongliang1ORCID,Ma Yao1ORCID

Affiliation:

1. Rensselaer Polytechnic Institute, Troy, NY, USA

Funder

National Science Foundation

Publisher

ACM

Reference50 articles.

1. The Maxwell–Boltzmann distribution

2. Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak, Orestis Plevrakis, and Nikunj Saunshi. 2019. A theoretical analysis of contrastive unsupervised representation learning. arXiv preprint arXiv:1902.09229 (2019).

3. Philip Bachman, R Devon Hjelm, and William Buchwalter. 2019. Learning representations by maximizing mutual information across views. NeurIPS (2019).

4. Graph Barlow Twins: A self-supervised representation learning framework for graphs

5. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML.

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