Abstract: Reactive power optimization of distribution networks is traditionally addressed by physical model based methods, which often lead to locally optimal solutions and require heavy online ...

Abstract: Graph pooling plays a vital role in Graph Neural Networks (GNNs) by facilitating scalable and expressive learning of graph-level representations. However, existing pooling methods often ...