The researchers validate SySTeC’s effectiveness through extensive performance evaluations on common tensor operations, including symmetric sparse matrix-vector multiplication (SSYMV), ...

Sparse Matrix Representation: Utilizes sparse matrices to represent adjacency matrices, optimizing storage and performance. Linear Algebra Querying: Employs linear algebra for query execution, ...

All three are an undirected graph with nodes representing documents (thesis documents ... We can get the following conclusions: 1. The multi-order adjacency matrix propagation of LGNN enables it to ...

I have calculated an "influence score" on an unweighted and weighted graph. I used BFS algorithm for the unweighted graph and Dijkstra's algorithm for the weighted graph.

We inferred the expected confounded edge adjacency matrix from the loading matrix (for source ... Using these 328 EBMF factors and 14 clinical features, we ran MGM to build an undirected skeleton ...