For this, we integrate the concept of polytopic uncertainty into existing approaches that learn graph Laplacians and adjacency matrices, constraining the solution space to a polytopic set. Our ...

This can be solved partially by making separate adjacency matrices for different segments of the incidence matrix, but the choice for the size of the segments is always arbitrary, and information ...

Specifically, a lightweight yet physically more intuitive model termed FaceGCN is proposed. On the one hand, a dynamic generator of facial adjacency matrices is constructed assisted by two ...

Despite recent advancements, many graph generative models still rely heavily on adjacency matrix representations. While effective, these methods can be computationally demanding and often lack ...

4) Modified Canberra distance between CCI adjacency matrices. The measures (1), (2), and (3) measure the root Euclidean distances between node-to-node affinity matrices, thus quantifying the overall ...