Abstract: In this paper, rational graph filters are designed by using conventional IIR digital filters and spectral transformation. First, the specification of the rational graph filter design is ...

Abstract: Recently, the link prediction methods based on enclosing subgraph extraction and line graph transformation have been proven to achieve excellent prediction accuracy, but there are still some ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Can spectral feature transformations enable simple MLPs to compete with Graph Neural Networks? GraphSpec investigates whether graph-aware spectral transformations can bridge the performance gap ...