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bxshi released this repository in 2019 to support the ConMask model for open-world knowledge graph completion. It provides data and TensorFlow code for representation learning and network embedding, specifically targeting entities not seen during training.
Requires TensorFlow for model execution; users should refer to the 'Open-world Knowledge Graph Completion' paper for theoretical context.