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.
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