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 ...

For a simple undirected graph G, let A ( G ) be the (0, 1) adjacency matrix of G. The Seidel matrix of G, is defined as S ( G )=J−I−2A ( G ) , where J is the all-one matrix and I is the identity ...

Add a description, image, and links to the adjacency-matrix-graph topic page so that developers can more easily learn about it ...

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 ...