Zobrazeno 1 - 10
of 12 775
pro vyhledávání: '"Relational knowledge"'
By representing knowledge in a primary triple associated with additional attribute-value qualifiers, hyper-relational knowledge graph (HKG) that generalizes triple-based knowledge graph (KG) has been attracting research attention recently. Compared w
Externí odkaz:
http://arxiv.org/abs/2411.06191
Knowledge hypergraphs generalize knowledge graphs using hyperedges to connect multiple entities and depict complicated relations. Existing methods either transform hyperedges into an easier-to-handle set of binary relations or view hyperedges as isol
Externí odkaz:
http://arxiv.org/abs/2412.12158
Causal networks are often incomplete with missing causal links. This is due to various issues, such as missing observation data. Recent approaches to the issue of incomplete causal networks have used knowledge graph link prediction methods to find th
Externí odkaz:
http://arxiv.org/abs/2410.14679
In spite of great success in many image recognition tasks achieved by recent deep models, directly applying them to recognize low-resolution images may suffer from low accuracy due to the missing of informative details during resolution degradation.
Externí odkaz:
http://arxiv.org/abs/2409.05384
Knowledge probing evaluates the extent to which a language model (LM) has acquired relational knowledge during its pre-training phase. It provides a cost-effective means of comparing LMs of different sizes and training setups and is useful for monito
Externí odkaz:
http://arxiv.org/abs/2408.15729
Autor:
M. E. Müller
What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden
In a hyper-relational knowledge graph (HKG), each fact is composed of a main triple associated with attribute-value qualifiers, which express additional factual knowledge. The hyper-relational knowledge graph completion (HKGC) task aims at inferring
Externí odkaz:
http://arxiv.org/abs/2404.09848
Autor:
Wu, Shirley, Zhao, Shiyu, Yasunaga, Michihiro, Huang, Kexin, Cao, Kaidi, Huang, Qian, Ioannidis, Vassilis N., Subbian, Karthik, Zou, James, Leskovec, Jure
Answering real-world complex queries, such as complex product search, often requires accurate retrieval from semi-structured knowledge bases that involve blend of unstructured (e.g., textual descriptions of products) and structured (e.g., entity rela
Externí odkaz:
http://arxiv.org/abs/2404.13207