To maximize the homogeneity of these two distinct graphs, we design an improved semi-supervised contrastive loss. In order to enrich scarce label information, we propose a self-supervised mechanism to ...

In the case of an undirected graph, the adjacency_matrix. class does not use a full V x V matrix but instead uses a lower triangle (the diagonal and below) since the matrix for an undirected graph is ...

Existing aspect-based sentiment classification methods use graph-based models to integrate the syntactic structure of sentences. Although these methods are practical, they give less consideration to ...

This project had me use an adjacency matrix to model a weighted digraph representing the stages of a project. Given input for a graph, this program calculates a project's feasibility, its topological ...

On the other hand, what happens for infinite groups? Since the status of knowledge of the non-commuting graph and of the prime graph is satisfactory, is it possible to find relations between these two ...