Results 41 to 50 of about 554,031 (298)
Name Disambiguation Based on Graph Convolutional Network
Scientific Programming, 2021 Recently, massive online academic resources have provided convenience for scientific study and research. However, the author name ambiguity degrades the user experience in retrieving the literature bases. Extracting the features of papers and calculating the similarity for clustering constitute the mainstream of present name disambiguation approaches ...
Ya Chen +3 more
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Named entity disambiguation in short texts over knowledge graphs [PDF]
Knowledge and Information Systems, 2022 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 NED on KGs involve long texts, which is not the case of short text fragments, identified by their limited ...
Wissem Bouarroudj +2 more
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Bilinear Graph Neural Network with Neighbor Interactions
, 2020 Graph Neural Network (GNN) is a powerful model to learn representations and make predictions on graph data. Existing efforts on GNN have largely defined the graph convolution as a weighted sum of the features of the connected nodes to form the ...
Feng, Fuli +6 more
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RDF Curator: A Novel Workflow that Generates Semantic Graph from Literature for Curation Using Text Mining [PDF]
, 2010 There exist few databases that enable cross-reference among various research fields related to bioenergy. Cross-reference is highly desired among bioinformatics databases related to environment, energy, and agriculture for better mutual cooperation.
Osamu Gotoh, Yusuke Komiyama
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On irregularity descriptors of derived graphs
AIMS Mathematics, 2020 Topological indices are molecular structural descriptors which computationally and theoretically describe the natures of the underlying connectivity of nanomaterials and chemical compounds, and hence they provide quicker methods to examine their ...
Wei Gao +4 more
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Author Name Disambiguation Based on Heterogeneous Graph
電腦學刊, 2023 <p>Since multiple people share the same name in the real world, this will cause performance degradation to academic search systems and lead to misattribution of publications. The author name disambiguation algorithm has not yet to be well solved.
Chuang Ma Chuang Ma +1 more
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Quasiperiodic graphs: structural design, scaling and entropic properties [PDF]
, 2012 A novel class of graphs, here named quasiperiodic, are constructed via application of the Horizontal Visibility algorithm to the time series generated along the quasiperiodic route to chaos. We show how the hierarchy of mode-locked regions represented by
A. M. Núñez +20 more
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IEEE Access, 2023 We propose a novel approach that uses semi-supervised learning to extract triplets from domain-specific texts and create a Knowledge Graph (KG), with a focus on the agricultural domain.
G. Veena, Deepa Gupta, Vani Kanjirangat
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KCD indices and coindices of graphs
Ratio Mathematica, 2020 The relationship between vertices of a graph is always an interesting fact, but the relations of vertices and edges also seeks attention. Motivation of the relationship between vertices and edges of a graph has helped to arise with a set of new degree ...
Keerthi G. Mirajkar, Akshata Morajkar
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, 2023 With the Resource Description Framework (RDF) you can represent Linked Data as subject-predicate-object triples. But what if you have to represent additional context of those triples? In this Blog post I will briefly introduce the advanced data management feature “named graphs” with two examples: different data source named graphs in the BELTRANS ...
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