Mar 21, 2022 · In this article, we exploit compressed representations of webgraphs and social networks and show that matrix-vector products can be carried out much faster.

In this paper we show that some well-known Web and social graph compression formats are computation-friendly, in the sense that they allow boosting the ...

In this paper, we show that some well-known webgraph and social graph compression formats are computation-friendly, in the sense that they allow boosting the ...

In this paper, we show that some well-known webgraph and social graph compression formats are computation-friendly, in the sense that they allow boosting the ...

... adjacency matrix compression scheme of Boldi and Vigna [8] allows for computing matrix-vector products in time proportional to the compressed matrix size.

In this paper we show that some well-known web-graph and social graph compression formats are computation-friendly, in the sense that they allow boosting the ...

Abstract: Computing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of ...

Apr 19, 2022 · The article “Graph Compression for Adjacency-Matrix Multiplication”, written by Francisco, A.P., Gagie, T., Köppl, D, Ladra, S., Navarro, ...

In this paper, we show that some well-known webgraph and social graph compression formats are computation-friendly, in the sense that they allow boosting the ...

Feb 28, 2012 · I was wondering if there was any meaningful interpertation of the product of two n×n adjacency matrices of two distinct graphs. graph-theory.