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The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21)

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Published:14 August 2021Publication 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'21)" aims to bring together both academic researchers and industrial practitioners from different backgrounds and perspectives to the above challenges.

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  1. The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21)

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                cover image ACM Conferences
                KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
                August 2021
                4259 pages
                ISBN:9781450383325
                DOI:10.1145/3447548

                Copyright © 2021 Owner/Author

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 14 August 2021

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

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