Boosting the Speed of Entity Alignment10×: Dual AttentionMatching Network with Normalized Hard Sample Mining (https://arxiv.org/pdf/2103.15452.pdf)

Datasets

The datasets are from GCN-Align, JAPE, and RSNs.

• 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;

Environment

• Python = 3.6
• Keras = 2.2.5
• Tensorflow = 1.14.0
• jupyter
• Scipy
• Numpy
• tqdm
• numba

Acknowledgement

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