no code implementations • 15 Dec 2023 • Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu
Graph Structure Learning (GSL) has demonstrated considerable potential in the analysis of graph-unknown non-Euclidean data across a wide range of domains.
no code implementations • 11 Dec 2023 • Yue Wu, Yongzhe Yuan, Xiaolong Fan, Xiaoshui Huang, Maoguo Gong, Qiguang Miao
We propose a new framework that formulates point cloud registration as a denoising diffusion process from noisy transformation to object transformation.
1 code implementation • 11 Oct 2022 • Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang
In this paper, we propose a novel Multiview Variational Graph Information Bottleneck (MVGIB) principle to maximize the agreement for common representations and the disagreement for view-specific representations.
1 code implementation • 14 May 2021 • Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li
Specifically, we first utilize a multi-view representation learning module to better capture both local and global information content across feature and topology views on graphs.