Learning Graph Embeddings from WordNet-based Similarity Measures
, 2019 We present path2vec, a new approach for learning graph embeddings that relies on structural measures of pairwise node similarities. The model learns representations for nodes in a dense space that approximate a given user-defined graph distance measure ...
Biemann, Chris +4 more
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Similarity-based virtual screening using 2D fingerprints [PDF]
, 2006 This paper summarises recent work at the University of Sheffield on virtual screening methods that use 2D fingerprint measures of structural similarity. A detailed comparison of a large number of similarity coefficients demonstrates that the well-known ...
Willett, P.
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Similarity measure between Pythagorean fuzzy sets based on lower, upper and middle fuzzy sets with applications to pattern recognition and multicriteria decision making with PF-TODIM [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 The choice of similarity measure (SM) plays an important role in distinguishing between objects. Similarity measure of Pythagorean fuzzy sets (PFSs) is very useful and effective in discriminating between different Pythagorean fuzzy sets.
Zahid Hussain +3 more
doaj
IEEE Access, 2023 In this study, we investigate a novel conception called complex interval-valued hesitant fuzzy set (CIvHFS) as the modification of some prevailing conceptions such as interval-valued complex fuzzy set (IvCFS) and interval-valued hesitant fuzzy set (IvHFS)
Haojun Fang +4 more
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COMPUTATION OF IMAGE SIMILARITY WITH TIME SERIES [PDF]
ICTACT Journal on Image and Video Processing, 2011 Searching for similar sequence in large database is an important task in temporal data mining. Similarity search is concerned with efficiently locating subsequences or whole sequences in large archives of sequences.
V. Balamurugan +2 more
doaj
Similarities on Graphs: Kernels versus Proximity Measures [PDF]
, 2018 We analytically study proximity and distance properties of various kernels and similarity measures on graphs. This helps to understand the mathematical nature of such measures and can potentially be useful for recommending the adoption of specific ...
Avrachenkov, Konstantin +2 more
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SimViz: Interactive visualizations to analyze similarity measures
SoftwareXIn Artificial Intelligence, similarity measures constitute a fundamental component across numerous methods and techniques. They play a particularly critical role in the retrieval process of Case-based Reasoning systems, where the quality of similarity ...
Guillermo Jimenez-Diaz, Belen Diaz-Agudo
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An Empirical Evaluation of Document Embeddings and Similarity Metrics for Scientific Articles
Applied Sciences, 2022 The comparison of documents—such as articles or patents search, bibliography recommendations systems, visualization of document collections, etc.—has a wide range of applications in several fields.
Joaquin Gómez, Pere-Pau Vázquez
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The Blurred Line between Physical Ageing and Mental Health in Older Adults: Implications for the Measurement of Depression [PDF]
, 2019 Objectives: Depression in older adults is assessed using measures validated in the general adult population. However, such measures may be inappropriate in the elderly due to the similarities between ageing and the symptoms of depression.
Hazell, C. +5 more
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Object–Parameter Approaches to Predicting Unknown Data in an Incomplete Fuzzy Soft Set
International Journal of Applied Mathematics and Computer Science, 2017 The research on incomplete fuzzy soft sets is an integral part of the research on fuzzy soft sets and has been initiated recently. In this work, we first point out that an existing approach to predicting unknown data in an incomplete fuzzy soft set ...
Liu Yaya +3 more
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