Framelet Message Passing

Understand

Graph neural networks (GNNs) have achieved champion in wide applications.

• Neural message passing is a typical key module for feature propagation by aggregating neighboring features.
• In this work, we propose a new message passing based on multiscale framelet transforms, called Framelet Message Passing.
• Different from traditional spatial methods, it integrates framelet representation of neighbor nodes from multiple hops away in node message update.