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Federated Learning on Graphs: New Scenarios, Challenges, and Methods
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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management
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Learning Structured Knowledge from Real-World Data without Excessive Annotations
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Cell type identification in single-cell genomics and its applications
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Large scale neuronal type classification using graph neural networks
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Pre-Training Graph Neural Networks for Data-Efficient Brain Network Analysis
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Interpretable and Interactive Representation Learning on Geometric Data
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The Applications of Alternating Minimization Algorithms on Deep Learning Models
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Understanding spatial-temporal trends using communication-efficient federated tensor factorization for incomplete data
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Unsupervised, Context-Aware Emotion Classification of College-Related Reddit Posts
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