AI RESEARCH
COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs
arXiv CS.AI
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ArXi:2605.14900v1 Announce Type: new Knowledge Graphs (KGs) are extensively used across different domains and in several applications. Often, these KGs are very large in size. Such KGs become unwieldy for tasks such as question answering and visualization. Summarization of KGs offers a viable alternative in such cases. Furthermore, personalized KG summarization is crucial in the current data-driven world as it captures the specific requirements of users based on their query patterns.