Zhenyu Hou

Zhenyu Hou

Language Model; Agent; Reinforcement Learning. My recent work centers on post-training for reasoning and alignment.

GraphMAE: Self-Supervised Masked Graph Autoencoders

Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022

GraphMAE introduces masked feature reconstruction for graph neural networks and demonstrates strong transferability across graph learning tasks.

Recommended citation: Hou, Z., Liu, X., Cen, Y., Dong, Y., Yang, H., Wang, C., and Tang, J. (2022). "GraphMAE: Self-Supervised Masked Graph Autoencoders." KDD.
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