1 code implementation • 8 Mar 2024 • Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie
Existing multigraph convolution methods either ignore the cross-view interaction among multiple graphs, or induce extremely high computational cost due to standard cross-view polynomial operators.
no code implementations • 26 Nov 2023 • Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
To address the problems, we propose a novel N-Cut solver designed based on the famous coordinate descent method.
no code implementations • 2 Oct 2023 • Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie
Moreover, applications of pseudo labels in graph neural networks (GNNs) oversee the difference between graph learning and other machine learning tasks such as message passing mechanism.