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Liang et al., 2022 - Google Patents

Survey of graph neural networks and applications

Liang et al., 2022

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Document ID
2257275378306087782
Author
Liang F
Qian C
Yu W
Griffith D
Golmie N
Publication year
Publication venue
Wireless Communications and Mobile Computing

External Links

Snippet

The advance of deep learning has shown great potential in applications (speech, image, and video classification). In these applications, deep learning models are trained by datasets in Euclidean space with fixed dimensions and sequences. Nonetheless, the rapidly …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
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    • G06—COMPUTING; CALCULATING; COUNTING
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