Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Malini, A.; Sharma, Vandana; Felicia Lilian, J.; Dhanaraj, Rajesh Kumar; Sharangapriyan, S.; Shrinivas, S. Title A name given to the resource Role of Graph Convolutional Neural Networks (GCNN) in Computer Vision Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Graph Convolutional Neural Networks for Computer Vision;pp.1-20 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394356362.ch1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394356362.ch1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105026928660?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026928660?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Malini A., School of Computer Science and Engineering, Vellore Institute of Technology, Tamil Nadu, Chennai, India; Sharma V., Christ University, Bengaluru, India; Felicia Lilian J., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, India; Dhanaraj R.K., Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India; Sharangapriyan S., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, India; Shrinivas S., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, India Description An account of the resource Graph Convolution Neural Networks (GCNNs) are an important concept in advancing computer vision by transforming the understanding and modeling of graph-structured data. They have a unique capability to capture intricate relations along with the visual content that goes beyond the traditional and usual convolutional neural networks, it also empowers computers to observe and interpret the complex interconnection between the elements in images, which enhances the depth and nuance of visual dentata analysis. As a revolutionary study in computer vision, GCNNs are poised to transform various industries by unleashing new frontiers in the visual information domains analysis and interpretation. Their multifaceted applications promise to reshape the landscape of computer vision. 2026 Scrivener Publishing LLC. Subject The topic of the resource computer vision; Graph convolutional neural networks (GCNNs); graph-structured data; visual data analysis; visual information analysis Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139435636-2; 978-139435633-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online