From Alignment to Assignment: Frustratingly Simple but Effective Unsupervised Entity Alignment without Neural Networks

Datasets

• ent_ids_1: ids for entities in source KG;
• ent_ids_2: ids for entities in target KG;
• ref_ent_ids: entity links encoded by ids;
• triples_1: relation triples encoded by ids in source KG;
• triples_2: relation triples encoded by ids in target KG;

Word vectors

• please download the zip file from http://nlp.stanford.edu/data/glove.6B.zip and choose "glove.6B.300d.txt" as the word vectors.

Environment

• Jupyter notebook
• tensorflow == 2.4.1
• Python == 3.6.5
• Numba
• Scipy
• Numpy
• tqdm

Just run main.ipynb block by block.