[Article] Graph Self-supervised Learning with Application to Brain Networks Analysis. IEEE Journal of Biomedical and Health Informatics.

Summary: They suggested BrainGSLs to capture more information in limited data and insufficient supervision. It incorporates a local topological-aware encoder, a node-edge bi-decoder, a signal representation learning module, and a classifier. They evaluated their model on ASD, BD, and MDD datasets.

Wen, G., Cao, P., Liu, L., Yang, J., Zhang, X., Wang, F., & Zaiane, O. R. (2023). Graph Self-supervised Learning with Application to Brain Networks Analysis. IEEE Journal of Biomedical and Health Informatics.