Entity Cluster

Entity clustering focuses on grouping related entities within large datasets, such as knowledge graphs or e-commerce product catalogs, to improve data organization and analysis. Current research emphasizes leveraging large language models (LLMs) and graph neural networks to learn effective entity representations and develop sophisticated clustering algorithms, including those incorporating hierarchical structures and active learning for improved accuracy and efficiency. These advancements are significant for various applications, enhancing knowledge graph construction, improving entity linking and disambiguation, and facilitating more robust unsupervised entity resolution in diverse domains.