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Deep Learning on Graphs: Methods and Applications (DLG-KDD2023)

Published:04 August 2023Publication History

ABSTRACT

Deep Learning models are at the core of research in Artificial Intelligence research today. A tide in research for deep learning on graphs or graph neural networks. This wave of research at the intersection of graph theory and deep learning has also influenced other fields of science, including computer vision, natural language processing, program synthesis and analysis, financial security, Drug Discovery and so on. However, there are still many challenges regarding a broad range of the topics in deep learning on graphs, from methodologies to applications, and from foundations to the new frontiers of GNNs. This international workshop on "Deep Learning on Graphs: Method and Applications (DLG-KDD'23)" aims to bring together both academic researchers and industrial practitioners from different backgrounds and perspectives to above challenges.

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  1. Deep Learning on Graphs: Methods and Applications (DLG-KDD2023)

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              • Published in

                cover image ACM Conferences
                KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
                August 2023
                5996 pages
                ISBN:9798400701030
                DOI:10.1145/3580305

                Copyright © 2023 Owner/Author

                Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 4 August 2023

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                Overall Acceptance Rate1,133of8,635submissions,13%

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