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  • title: Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
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            Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
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            Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

            Jul 24, 2023

            Speakers

            YZ

            Yizhen Zheng

            Speaker · 0 followers

            HZ

            He Zhang

            Speaker · 0 followers

            VL

            Vincent Lee

            Speaker · 0 followers

            About

            Real-world graphs generally have only one kind of tendency in their connections. These connections are either homophilic-prone or heterophilic-prone. While graphs with homophilic-prone edges tend to connect nodes with the same class (i.e., intra-class nodes), heterophilic-prone edges tend to build relationships between nodes with different classes (i.e., inter-class nodes). Existing GNNs only take the original graph as input during training. The problem with this approach is that it forgets to t…

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