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…