Grace: a scalable framework for graph embedding with autoencoder-based feature compression and random walks

Subjects: “…Big data and data science…”
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Explainability and uncertainty for time-series classification in cryptocurrency data: a hybrid XAI methodology based on COMTE and LEFTIST

Subjects: “…Big data and data science…”
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Leveraging large language models for document classification in the banking sector

Subjects: “…Big data and data science…”
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The LASSO path as a feature importance proxy

Subjects: “…Big data and data science…”
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Enhancing large language models for scientific entity recognition via fully automated self-distillation

Subjects: “…Big data and data science…”
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MiniRFANN: Range-Filtered Approximate Vector Similarity Search on Edge Devices

Subjects: “…Big data and data science…”
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COIN: Graph Contrastive Learning with Orthogonal Continuous Augmentation and Information Balance

Subjects: “…Big data and data science…”
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Synthetic data through combinatorial optimization of pairwise probabilities

Subjects: “…Big data and data science…”
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Hybrid recommendation framework: integrating behavioral clustering, network centrality, and advanced deep learning models

Subjects: “…Big data and data science…”
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