Shypd.aiThe largest open index of AI toolsOpenEA is an Open Source tool that provides a benchmarking study of embedding-based entity alignment for knowledge graphs. It includes an open-source library with 12 representative entity alignment approaches and dedicated benchmark datasets.
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OpenEA is an open-source library and benchmarking study focused on embedding-based entity alignment for knowledge graphs. It addresses the challenge of finding entities that refer to the same real-world object across different knowledge graphs. The project surveys 23 recent embedding-based entity alignment approaches, categorizing them by technique, and provides a new KG sampling algorithm to generate dedicated benchmark datasets with various heterogeneity and distributions for realistic evaluation. The library integrates 12 representative embedding-based entity alignment approaches and several relationship and attribute embedding models, offering a flexible framework for researchers. It is developed using Python and TensorFlow, emphasizing loose coupling, functionality, and extensibility for easy integration of new methods.
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