Acronyms
–Neural Information Processing Systems
Frobenius norm of M λ ( M) Spectrum of M σ ( M) Singular values of M E ( x) Dirichlet energy computed on x H ( G) Homophily coefficient of the graph G A B Kronecker product between A and B vec( M) V ector obtained stacking columns of M . In this section, we give the details on the numerical results in Section 6 . On the contrary, the graph layers do not use any dropout nor non-linearity. A sketch of the algorithm is reported in fLode . Cora, Citeseer, and Pubmed are already undirected graphs: to these, we added self-loops.
Neural Information Processing Systems
Feb-9-2026, 09:26:24 GMT