Machine Learning for Refining Knowledge Graphs: A Survey
Knowledge graph (KG) refinement refers to the process of filling in missing information,
removing redundancies, and resolving inconsistencies in KGs. With the growing popularity …
removing redundancies, and resolving inconsistencies in KGs. With the growing popularity …
Scalable maximal subgraph mining with backbone-preserving graph convolutions
Maximal subgraph mining is increasingly important in various domains, including
bioinformatics, genomics, and chemistry, as it helps identify common characteristics among …
bioinformatics, genomics, and chemistry, as it helps identify common characteristics among …
Query Model Framework Design for Conservation History and Endowments Database: A Case Study on the Digitization of the Sumedang Larang Kingdom's History …
The use of structured query formulation languages is a method for gaining access to data in
information management systems. Writing structured queries is a powerful method of data …
information management systems. Writing structured queries is a powerful method of data …
Learning-based models for building user profiles for personalized information access
MS Hidri - arxiv preprint arxiv:2405.15791, 2024 - arxiv.org
This study contributes to the literature by considering the difference in vocabulary used to
express document content and information needs. Users are integrated into all research …
express document content and information needs. Users are integrated into all research …
Multidimensional query processing algorithm by dimension transformation
Multidimensional query processing is an important access pattern for multidimensional
scientific data. We propose an in-memory multidimensional query processing algorithm for …
scientific data. We propose an in-memory multidimensional query processing algorithm for …