Abstract: The operational state of harmonic drives demonstrates nonlinear and nonstationary characteristics, which pose challenges for traditional methods to extract features. Graph neural networks ...

Abstract: Understanding land cover holds considerable potential for a myriad of practical applications, particularly as data accessibility transitions from being exclusive to governmental and ...

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...