Multi-view spectral clustering provides powerful modeling tools for clustering tasks in complex scenarios by fusing the complementary information of multi-source data. However, the existing methods have the following three defects: (1) failing to fully exploit the complementarity and differences among views, leading to...
Jian Wei, Jiang-Zhang Gan, Bo Zhou et al.· Electronics· 0 citations
Accurately modeling the progression of Alzheimer's disease (AD) is essential for understanding disease mechanisms and optimizing therapeutic windows, yet it is impeded by the sparse, irregular, and heterogeneous nature of clinical longitudinal data. Existing generative approaches either struggle to capture the continuo...
Yuhao Jiang, Junbo Ma, Guoqiu Wen et al.· Proceedings of the 32nd ACM...· 0 citations
This work proposes a self-expressive solver that captures the complementary homophily between meta-paths and node features to obtain ho-mophilous representations and designs separate path encoders to model diverse interactions, thus explicitly including cross-type interactions while mitigating noise via adaptive fusion...
Min-Da Chen, Yujie Mo, Jun-Kai Huang et al.· Proceedings of the Thirty-Fi...· 0 citations
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