Accurate identification of cell types constitutes a critical step in downstream analysis of single-cell sequencing data. However, the inherent high noise levels and high dimensionality characteristics pose significant challenges for clustering tasks. To address these issues, we propose method scGADSSC (Graph-Attentiona...
Jing-Li Wu, Shi-Hao Zhang, Gao-Shi Li et al.· IEEE transactions on computa...· 0 citations
DMGRN, a novel GRN inference frame work built upon an improved Denoising Diffusion Probabilistic Model (DDPM), achieves the highest Early Precision Ratio (EPR) on 18 out of 28 BEELINE benchmark configurations, demonstrating superior stability and computational efficiency compared to state-of-the-art methods.
Rong-Yuan Li, Jing-Li Wu, Chun-Feng Chen et al.· IEEE transactions on computa...· 0 citations
Comprehensive evaluations on multiple real-world networks demonstrate KSvoterank’s superior performance in propagation scope and robustness, validating its utility for influence maximization and network robustness analysis.
Hai-Long Chen, Jia-Fei Liu, Eddie Cheng· International Journal of Mac...· 0 citations
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