DWGCN: distance-weighted graph convolutional network for robust spatial domain identification in spatial transcriptomics. [PDF]
Peng C, Li G, Wu J, Fan Q, Guo X.
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Clustering-based progressive alignment with fuzzy logic (CPA-FL). [PDF]
Hajieghrari B.
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STransfer: a transfer learning-enhanced graph convolutional network for clustering spatial transcriptomics data. [PDF]
Wang C, Yu X.
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AugGCL: Multimodal graph learning for spatial transcriptomics analysis with enhanced gene and morphological data. [PDF]
Ji T +5 more
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Subtyping insomnia disorder with a population graph attention autoencoder: revealing two distinct biotypes. [PDF]
Zhang H +5 more
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CEMUSA: a graph-based integrative metric for evaluating clusters in spatial transcriptomics. [PDF]
Hu J +6 more
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A new clustered federated learning algorithm for heterogeneous data in high-precision wireless sensing. [PDF]
Tian Z, Tian J.
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JGR-NMF: joint graph-regularized non-negative matrix factorization for spatial domain identification. [PDF]
Liang J, Huang J, Xi C, Wang Y, Li J.
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Adaptive deep clustering integrating DINOv2 embeddings, graph attention, and bio-inspired optimization. [PDF]
Abdrabo M +3 more
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stRGAT: identifying spatial domains in spatial transcriptomics via a relational graph attention network. [PDF]
Zhang Z +7 more
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