Research map / Graph learning / Graph self-supervised learning
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis
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Closest papers by meaning
- PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis (AAAI 2025 · similarity 0.89)
- scMAF: Single-Cell Multi-Omics Clustering via Adaptive Modality Fusion (NeurIPS 2026 · similarity 0.87)
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- OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data (NeurIPS 2026 · similarity 0.84)
- scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration (NeurIPS 2025 · similarity 0.83)
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