AI RESEARCH
GraphSeek: Next-Generation Graph Analytics with LLMs
arXiv CS.AI
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ArXi:2602.11052v2 Announce Type: replace-cross Graphs are foundational across domains but remain hard to use without deep expertise. LLMs promise accessible natural language (NL) graph analytics, yet they fail to process industry-scale property graphs effectively and efficiently: such datasets are large, highly heterogeneous, structurally complex, and evolve dynamically. To address this, we devise a novel abstraction for complex multi-query analytics over such graphs.