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Low-rank adaptive graph embedding for unsupervised feature extraction
Lu J., Wang H., Zhou J., Chen Y., Lai Z., Hu Q.
embedding (LRAGE), which can perform subspace learning and adaptive probabilistic neighborhood graph
Embeddings of *-graphs into 2-surfaces
Friesen T., Manturov V.O.
of calculating the genus of orientable 2-surfaces into which such graphs may be embedded. A *-graph is a graph
Embeddings of Four-valent Framed Graphs into 2-surfaces
Manturov V.O.
graph can be embedded is closely connected to the problem of embedding special four-valent framed graphs
Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph
Nikolaev F., Kotov A.
and entity descriptions. Although successful applications of word embeddings and knowledge graph entity
Analytical synthesis of physically implementable controllers for multivariable objects using the embedding technique
Asanov A., Demyanov D.
multivariable dynamic object can be solved exactly using the embedding technique. The synthesis algorithm
Cross-Domain Co-Author Recommendation Based on Knowledge Graph Clustering
Munna T.A., Delhibabu R.
state-of-art knowledge representation technique named Knowledge Graphs (KGs) and demonstrate how
Analytical synthesis of physically implementable controllers for multivariable objects using the embedding technique
Asanov A., Demyanov D.
multivariable dynamic object can be solved exactly using the embedding technique. The synthesis algorithm
Применение графовых моделей для адаптивного обучения студентов с особыми потребностями
Скудняков, Ю. А., Шпак, И. И.
Application of graph models for adaptive learning students with special needs
Граф знаний и машинное обучение как ИТ среда интеллектуального анализа данных интернет источников
Батура, М. П., Пилецкий, И. И., Волорова, Н. А., Зорко, П. А., Кулевич, А. О.
. The article provides a description of architectural and technological solutions for the joint use of graph
Model and algorithm for adaptive search by logical expressions
Savenko, A. G., Sherstnev, A. S., Савенко, А. Г., Шерстнев, А. С.
The article presents the developed graph model and algorithm for adaptive search by logical

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