no code implementations • 23 Jan 2024 • Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
Graph Neural Networks (GNNs) have shown great power for learning and mining on graphs, and Graph Structure Learning (GSL) plays an important role in boosting GNNs with a refined graph.
1 code implementation • 2 Jan 2024 • Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip Yu
In light of the issues above, we propose the problem of \emph{Motif-aware Riemannian Graph Representation Learning}, seeking a numerically stable encoder to capture motif regularity in a diverse-curvature manifold without labels.
no code implementations • 27 Feb 2022 • Zhenhao Huang, Yuning Qiu, Xinqi Chen, Weijun Sun, Guoxu Zhou
Robust tensor completion (RTC) aims to recover a low-rank tensor from its incomplete observation with outlier corruption.