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 Conference Paper Faculty Publications- Conference Papers 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 Roopalatha, N.; Dhanalakshmi, K.; Babu, G.N.P.V.; Krishna, P. Vamsi; Perada, Anvesh; Mulagapati, Harun Kumar Title A name given to the resource Enhancing Human Resource Management Practices in Marketing Companies Using Dual Graph Attention Networks 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 3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICACS65178.2025.10968426" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICACS65178.2025.10968426</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004739804?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004739804?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 Roopalatha N., School of Business, Gitam University, Hyderabad, India; Dhanalakshmi K., School of Business and Management, Christ University, Bangalore, India; Babu G.N.P.V., School of Business and Management, Christ University, Bangalore, India; Krishna P.V., School of Management and Commerce, Malla Reddy University, Hyderabad, India; Perada A., Drexel University, Department of Electrical and Computer Engineering, Philadelphia, United States; Mulagapati H.K., Srkr Engineering College, Department of Engineering Mathematics and Humanities, Chinna Amiram, India Description An account of the resource Marketing organization features and strategy implementation have been studied for over 30 years. These include organizational structure, culture, leadership, and processes. HR regulations can motivate marketing professionals to support group and individual goals when correctly implemented, but this part of HR has gotten little attention. Model preparation, feature extraction, and training comprise the suggestive technique. It reviewed data quality, evaluated dataset structure, and described data types during pre-processing. Principal component analysis (PCA) ranked and evaluated decision-making units to reduce dimension. Model training used MGGAN. In comparison to GAN and CNN, the proposed model performed well. With an average accuracy rate of 94.36%, it surpassed earlier approaches and captured all dataset peculiarities. MGGAN modeling can increase predictive performance, and marketing organizations should integrate HR regulations, according to this study. This study opens up new organizational analysis and strategy execution methods. 2025 IEEE. Subject The topic of the resource human resource management (HRM); marketing strategy; multi-granularity gated graph attention network (MGGAN) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150845-6; Language A language of the resource English Type The nature or genre of the resource Conference paper 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