MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph

Datasets

The datasets are from GCN-Align and BootEA

• 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;
• rel_ids_1: ids for entities in source KG;
• rel_ids_2: ids for entities in target KG;

Environment

• Anaconda>=4.3.30
• Python>=3.5
• Keras>=2.2.4
• Tensorflow>=1.13.1
• Scipy
• Numpy
• tqdm

Acknowledgement

We refer to the codes of these repos: keras-gat, GCN-Align, TransEdge. Thanks for their great contributions!