python/dgllife/utils/mol_to_graph.py [95:113]:
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    if num_virtual_nodes > 0:
        num_real_nodes = g.num_nodes()
        real_nodes = list(range(num_real_nodes))
        g.add_nodes(num_virtual_nodes)

        # Change Topology
        virtual_src = []
        virtual_dst = []
        for count in range(num_virtual_nodes):
            virtual_node = num_real_nodes + count
            virtual_node_copy = [virtual_node] * num_real_nodes
            virtual_src.extend(real_nodes)
            virtual_src.extend(virtual_node_copy)
            virtual_dst.extend(virtual_node_copy)
            virtual_dst.extend(real_nodes)
        g.add_edges(virtual_src, virtual_dst)

        for nk, nv in g.ndata.items():
            nv = torch.cat([nv, torch.zeros(g.num_nodes(), 1)], dim=1)
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python/dgllife/utils/mol_to_graph.py [876:894]:
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    if num_virtual_nodes > 0:
        num_real_nodes = g.num_nodes()
        real_nodes = list(range(num_real_nodes))
        g.add_nodes(num_virtual_nodes)

        # Change Topology
        virtual_src = []
        virtual_dst = []
        for count in range(num_virtual_nodes):
            virtual_node = num_real_nodes + count
            virtual_node_copy = [virtual_node] * num_real_nodes
            virtual_src.extend(real_nodes)
            virtual_src.extend(virtual_node_copy)
            virtual_dst.extend(virtual_node_copy)
            virtual_dst.extend(real_nodes)
        g.add_edges(virtual_src, virtual_dst)

        for nk, nv in g.ndata.items():
            nv = torch.cat([nv, torch.zeros(g.num_nodes(), 1)], dim=1)
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