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