Results 231 to 240 of about 622,196 (281)

A PI-Dual-STGCN Fault Diagnosis Model Based on the SHAP-LLM Joint Explanation Framework. [PDF]

Sensors (Basel)
Zhao Z, Ye S, Qi L, Ni H, Fei S, Tong Z.
europepmc   +1 more source

Knowledge graph-enhanced deep learning for pharmaceutical demand forecasting. [PDF]

Sci Rep
Chen X, Lu G, Zhang H, Wan J.
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Construction of Personal Health Knowledge Graphs for Clinical Data Harmonization in Breast Cancer

Liang W, Mierlo Rv, Bynens A, Celebi R, Erol E, Kılıç ÖD, de Zegher I, Serafimova K, Primov T, Boytcheva S, Kargl M, Maasik M, Wolfs CJ, Gomes AL, Dekker A, Kalendralis P.   +15 more
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Culture knowledge graph construction techniques

Education for Information, 2022
This article describes the development process of the Thai cultural knowledge graph, which facilitates a more precise and rapid comprehension of the culture and customs of Thailand. The construction process is as follows: First, data collection technologies and techniques were used to obtain text data from the Wikipedia encyclopedia about cultural ...
Chansanam, Wirapong, Jaroenruen, Yuttana, Kaewboonma, Nattapong, Tuamsuk, Kulthida   +3 more
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Biomedical Knowledge Graphs Construction From Conditional Statements

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021
Conditions play an essential role in biomedical statements. However, existing biomedical knowledge graphs (BioKGs) only focus on factual knowledge, organized as a flat relational network of biomedical concepts. These BioKGs ignore the conditions of the facts being valid, which loses essential contexts for knowledge exploration and inference.
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang   +6 more
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Knowledge Graphs: Construction and Applications

2021
Knowledge graphs become a de facto standard for representing data in situations where relations between individual pieces of information are important. These semantically rich data structures provide opportunities to develop methods and algorithms for new ways of analyzing and utilizing data. In this work, we illustrate benefits of representing data as
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Graph Embedding Based Query Construction Over Knowledge Graphs

2018 IEEE International Conference on Big Knowledge (ICBK), 2018
Graph-structured queries provide an efficient way to retrieve the desired data from large-scale knowledge graphs. However, it is difficult for non-expert users to write such queries, and users prefer expressing their query intention through natural language questions.
Ruijie Wang, Meng Wang, Jun Liu, Siyu Yao, Qinghua Zheng   +4 more
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Financial knowledge graph construction

2020
The proliferation of financial news sources reporting on companies, markets, currencies and stocks presents an opportunity for strategic decision making by mining data with the goal of extracting structured representations about financial entities and their inter-relations. These representations can be conveniently stored as (subject, predicate, object)
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