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   Articles with "knowledge graphs" as a keyword



Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs.

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recommendations! Published in 2025 at "Macromolecular rapid communications"

DOI: 10.1002/marc.202500065

Abstract: Identifying reliable synthesis pathways in materials chemistry is a complex task, particularly in polymer science, due to the intricate and often nonunique nomenclature of macromolecules. To address this challenge, an agent system that integrates large… read more here.

Keywords: reaction; large language; language; automated retrosynthesis ... See more keywords

Named entity disambiguation in short texts over knowledge graphs

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recommendations! Published in 2022 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-021-01642-9

Abstract: The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering systems (QAS). According to the current research, most studies dealing with… read more here.

Keywords: entity; knowledge; entity disambiguation; knowledge graphs ... See more keywords

A similarity model based on reinforcement local maximum connected same destination structure oriented to disordered fusion of knowledge graphs

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recommendations! Published in 2020 at "Applied Intelligence"

DOI: 10.1007/s10489-020-01673-9

Abstract: The alignment and fusion of knowledge graphs have been at entity alignment and fusion which match and align knowledge graphs (KGs) by measuring similarity of the entities in KGs. Nevertheless, false fusion of completely different… read more here.

Keywords: destination; similarity model; similarity; knowledge graphs ... See more keywords

A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders

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recommendations! Published in 2024 at "Journal of Intelligent Information Systems"

DOI: 10.1007/s10844-023-00830-z

Abstract: Knowledge Graphs (KGs) have already proven their strength as a source of high-quality information for different tasks such as data integration, search, text summarization, and personalization. Another prominent research field that has been benefiting from… read more here.

Keywords: recommendation; knowledge graphs; semantics aware; semantics ... See more keywords
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SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks

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recommendations! Published in 2020 at "SoftwareX"

DOI: 10.1016/j.softx.2020.100516

Abstract: Abstract SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of… read more here.

Keywords: semi; modeling; knowledge graphs; graph neural ... See more keywords

Interpretable AI-assisted diagnosis of papillary thyroid cancer cytopathology using graph neural networks and knowledge graphs

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-18235-z

Abstract: This study presents an interpretable AI-assisted diagnostic approach for papillary thyroid carcinoma (PTC) cytopathology by combining graph neural networks (GNNs) with knowledge graphs (KGs). Routine cytology smears from 281 PTC cases were scanned, labeled, and… read more here.

Keywords: interpretable assisted; graph neural; knowledge graphs; neural networks ... See more keywords

A comprehensive review on knowledge graphs for complex diseases

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recommendations! Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac543

Abstract: In recent years, knowledge graphs (KGs) have gained a great deal of popularity as a tool for storing relationships between entities and for performing higher level reasoning. KGs in biomedicine and clinical practice aim to… read more here.

Keywords: comprehensive review; review knowledge; knowledge graphs; complex diseases ... See more keywords

Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths

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recommendations! Published in 2023 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btad297

Abstract: Abstract Summary Heterogeneous knowledge graphs (KGs) have enabled the modeling of complex systems, from genetic interaction graphs and protein-protein interaction networks to networks representing drugs, diseases, proteins, and side effects. Analytical methods for KGs rely… read more here.

Keywords: meta paths; similarity search; heterogeneous knowledge; knowledge graphs ... See more keywords

Neuro-symbolic representation learning on biological knowledge graphs

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recommendations! Published in 2017 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btx275

Abstract: Motivation : Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are… read more here.

Keywords: knowledge; knowledge graphs; learning biological; biological knowledge ... See more keywords

A Quaternion-Embedded Capsule Network Model for Knowledge Graph Completion

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2997177

Abstract: Knowledge graphs are collections of factual triples. Link prediction aims to predict lost factual triples in knowledge graphs. In this paper, we present a novel capsule network method for link prediction taking advantages of quaternion.… read more here.

Keywords: model; knowledge graphs; knowledge; capsule network ... See more keywords

Question Answering over Knowledge Graphs: A Case Study in Tourism

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3187178

Abstract: Over the recent years, a large number of knowledge graphs (KGs) have been developed to store and present small and medium enterprises’ data in the form of subject-predicate-object triples. The KGs are not easily accessible… read more here.

Keywords: knowledge graphs; question; question answering; phase ... See more keywords