Equivalent Entity

Equivalent entity identification, or entity alignment, focuses on finding corresponding entities across different knowledge graphs (KGs) to integrate information and improve data comprehensiveness. Current research emphasizes developing scalable algorithms, often employing graph neural networks (GNNs) and incorporating techniques like similarity propagation and normalization to address challenges posed by large-scale KGs and limited labeled data. This work is crucial for improving knowledge graph integration, enabling more effective downstream applications such as recommender systems and facilitating advancements in areas like semantic search and cross-lingual information retrieval.