Zobrazeno 1 - 10
of 4 566
pro vyhledávání: '"graph query"'
The emergence of Large Language Models (LLMs) has revolutionized many fields, not only traditional natural language processing (NLP) tasks. Recently, research on applying LLMs to the database field has been booming, and as a typical non-relational da
Externí odkaz:
http://arxiv.org/abs/2412.10434
Autor:
Munir, Siraj, Aldini, Alessandro
Large Language Models (LLMs) are revolutionizing the landscape of Generative Artificial Intelligence (GenAI), with innovative LLM-backed solutions emerging rapidly. However, when applied to database technologies, specifically query generation for gra
Externí odkaz:
http://arxiv.org/abs/2411.08449
Graph databases are gaining momentum thanks to the flexibility and expressiveness of their data models and query languages. A standardization activity driven by the ISO/IEC standardization body is also ongoing and has already conducted to the specifi
Externí odkaz:
http://arxiv.org/abs/2407.04823
We study a relational perspective of graph database querying. Such a perspective underlies various graph database systems but very few theoretical investigations have been conducted on it. This perspective offers a powerful and unified framework to s
Externí odkaz:
http://arxiv.org/abs/2407.06766
Autor:
Crowe, Malcolm, Laux, Fritz
Publikováno v:
IARIA, 2024. ISBN: 978-1-68558-138-1
The International Standards Organization (ISO) is developing a new standard for Graph Query Language, with a particular focus on graph patterns with repeating paths. The Linked Database Benchmark Council (LDBC) has developed benchmarks to test propos
Externí odkaz:
http://arxiv.org/abs/2407.09566
Autor:
Lu, Yuwen, Chen, Meng, Zhao, Qi, Cox, Victor, Yang, Yang, Jiang, Meng, Brockman, Jay, Kay, Tamara, Li, Toby Jia-Jun
Collecting mobile datasets remains challenging for academic researchers due to limited data access and technical barriers. Commercial organizations often possess exclusive access to mobile data, leading to a "data monopoly" that restricts the indepen
Externí odkaz:
http://arxiv.org/abs/2406.16173
Autor:
He, Yunjie, Hernandez, Daniel, Nayyeri, Mojtaba, Xiong, Bo, Zhu, Yuqicheng, Kharlamov, Evgeny, Staab, Steffen
Query embedding approaches answer complex logical queries over incomplete knowledge graphs (KGs) by computing and operating on low-dimensional vector representations of entities, relations, and queries. However, current query embedding models heavily
Externí odkaz:
http://arxiv.org/abs/2407.09212
Autor:
Almagro-Blanco, Pedro1 (AUTHOR) palmagro@us.es, Sancho-Caparrini, Fernando1 (AUTHOR), Borrego-Díaz, Joaquín1 (AUTHOR) jborrego@us.es
Publikováno v:
Mathematics (2227-7390). Nov2023, Vol. 11 Issue 22, p4672. 22p.
Path queries are a core feature of modern graph query languages such as Cypher, SQL/PGQ, and GQL. These languages provide a rich set of features for matching paths, such as restricting to certain path modes (shortest, simple, trail) and constraining
Externí odkaz:
http://arxiv.org/abs/2306.02194
The LDBC Social Network Benchmark's Interactive workload captures an OLTP scenario operating on a correlated social network graph. It consists of complex graph queries executed concurrently with a stream of updates operation. Since its initial releas
Externí odkaz:
http://arxiv.org/abs/2307.04820