arXiv AI
PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN
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Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings
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ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
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Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods
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Hugging Face Trending Papers
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Plausibility-Driven Prioritization of Candidate Biomedical Annotations
The rapid growth of biomedical knowledge has made the validation of automatically generated biological annotations a major bottleneck in biomedical curation. While computational methods can rapidly produce large numbers of candidate annotations, determining which are biologically valid still requires costly expert review.