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Evaluating Knowledge Graph Embeddings by 谭嘉俊 is a document available to read on EtoBox.

This paper aims to evaluate knowledge graph embedding models in a standardized way to address challenges in reproducing prior results and verifying reported improvements. The paper reimplements 19 models in a common framework, benchmarks them on four datasets under different configurations, and analyzes factors influencing performance beyond just the model architecture.

Author

谭嘉俊

Language

EN