Self-Supervised Attributed Graph Learning: A Comprehensive Review

Published in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021

This survey summarizes pretext tasks, objectives, and benchmark settings for self-supervised learning on attributed graphs.

Recommended citation: Xie, Y., Xu, Z., Ji, J., Wang, Z., Wang, S., Liu, J., Ding, T., Hou, Z., and Tang, J. (2021). "Self-Supervised Attributed Graph Learning: A Comprehensive Review." IEEE TKDE.
Download Paper