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  • title: Deep Generative Model for Periodic Graphs
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            Deep Generative Model for Periodic Graphs
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            Deep Generative Model for Periodic Graphs

            Nov 28, 2022

            Speakers

            SW

            Shiyu Wang

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            XG

            Xiaojie Guo

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            LZ

            Liang Zhao

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            About

            Periodic graphs are graphs consisting of repetitive local structures, such as crystal nets and polygon mesh. Their generative modeling has great potential in real-world applications such as material design and graphics synthesis. Classical models either rely on domain-specific predefined generation principles (e.g., in crystal net design), or follow geometry-based prescribed rules. Recently, deep generative models have shown great promise in automatically generating general graphs. However, thei…

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            NeurIPS 2022

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