SEA: A Scalable Entity Alignment System

1 code implementation • 14 Apr 2023 • Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei

To enhance the usability of GNN-based EA models in real-world applications, we present SEA, a scalable entity alignment system that enables to (i) train large-scale GNNs for EA, (ii) speed up the normalization and the evaluation process, and (iii) report clear results for users to estimate different models and parameter settings.

Entity Alignment Knowledge Graphs