AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces MARETopic, a training-free framework that casts topic discovery as rank-based prototype selection and leads topic coherence on two of three datasets, ahead of both neural and clustering-based topic models.
GRaCE surpasses RaDE and Original Features across diverse datasets, including textual and image collections, excelling in retrieval, classification, and clustering tasks, considering state-of-the-art Transformer models as feature descriptors and Graph Convolutional Networks models in classification tasks.
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