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#artificial intelligence Preprint Oct 2026

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

Graph clustering is a fundamental task in data analysis, aiming at grouping nodes with similar characteristics in the graph into clusters. This problem has been widely explored using graph neural networks (GNNs) due to their ability to leverage node attributes and graph topology for effective cluster assignments. Howev...

Wei Ju, Si-Yu Yi, Kang-Jie Zheng et al. · 1 citation
Open access Sep 2026

scOLAR: Ontology-Anchored Open-Set Annotation of Single-Cell RNA-seq Data

Single-cell RNA sequencing profiles cellular heterogeneity at atlas scale, making automated annotation essential. However, target datasets often contain novel cell types missing from incomplete references. We present scOLAR, an ontology-guided open-set framework that learns prototypes over the Cell Ontology and uses bo...

Yu-Qiao Liu, Si-Yu Yi, Hengchuang Yin et al. · 0 citations

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