Knowledge Graphs (KGs) model semantic relationships between entities and are widely used in tasks such as question answering, recommendation, and large language model training. As KGs grow to billions of triples, storing and querying them on local devices becomes infeasible and also raises privacy concerns. KG summariz...
Ama Bembua Bainson, Kasper Overgaard Mortensen, Klim Zaporojets et al.· Proceedings of the VLDB Endo...· 1 citation
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.
Meng-Ran Li, Pengyu Zhang, Wen-Bin Xing et al.· 0 citations
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.
Fina Polat, Daniel Daza, Pengyu Zhang et al.· 0 citations
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