Abstract: Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional ...

It feels like every day there’s some new gadget or gizmo hitting the market, right? From the phones in our pockets to the way we heat our homes, technology examples are everywhere. It’s pretty wild ...

Abstract: Existing methods based on graph convolutional network often struggle with large-scale graphs due to their high computing consumption and inefficiency. Although strategies such as edge ...