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This survey focuses on four fundamental data-centric challenges: (1) Incompleteness, real-world graphs have missing nodes, edges, (2) Missing nodes, edges, and (3) Missing edges.
A systematic comparison of retrieval strategies for candidate generation under a shared LLM-based selection stage, combining sparse retrieval (BM25), Web KB search, and a state-of-the-art trained dense retriever with several open- and closed-source LLMs is presented.
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