no code implementations • 18 Nov 2023 • Yuecheng Li, YanMing Hu, Lele Fu, Chuan Chen, Lei Yang, Zibin Zheng
However, for unsupervised and structure-related tasks such as community detection, current GCL algorithms face difficulties in acquiring the necessary community-level information, resulting in poor performance.
no code implementations • 22 Apr 2023 • Zixiao Yu, Lele Fu, Zhiling Cai, Zhoumin Lu
To well cope with the issues, we propose a hyper-Laplacian regularized concept factorization (HLRCF) in low-rank tensor space for multi-view clustering.
no code implementations • 9 Dec 2022 • Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo
Due to the powerful capability to gather information of neighborhood nodes, in this paper, we apply Graph Convolutional Network (GCN) to cope with heterogeneous-graph data originating from multi-view data, which is still under-explored in the field of GCN.
no code implementations • 16 Nov 2022 • Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang
In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms.