AUTOMATED DETERMINATION OF NETWORK MOTIFS

Patent №

US 10,694,345

Granted

2020-06-23

Filed 2017

Owner

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15579518

The present invention relates to a computer-implemented method and a system for determining co-occurrences in at least one graph with n vertices and E edges, wherein each edge is defined by a pair of vertices, the method comprising: storing a binary adjacency matrix representing a first graph in a memory; performing a calculation step for the first graph, wherein the calculation step comprises: loading a block of at most K consecutive rows of the binary adjacency matrix from the memory and storing each row into one of K caches; streaming each of the subsequent uncached rows of the binary adjacency matrix from the memory; reading pairs of rows comprising a streamed row and each one of the cached rows; computing the logical conjunction between each couple of elements of the rows at the same position in the rows for each read pair of rows; and adding the results of the logical conjunction for all the couples of elements in each read pair by means of one-bit adders to obtain the co-occurrence, wherein the calculation step is repeated for consecutive blocks of rows in the binary adjacency matrix until all the pairs of rows of the binary adjacency matrix have been read.

AI hardwareH04W 4/21G06F 17/16G06F 30/18H04L 67/535G06F 16/9024

AI classification

AI hardware0.68
Knowledge representation0.33
Evolutionary computation0.09
Vision0.02
Natural language0.01
Planning0.00
Machine learning0.00
Speech0.00

Ownership

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN

assignment · 453910483

Assignors

ZWEIG, KATHARINA ANNA, BRUGGER, CHRISTIAN, GRIGOROVICI, VALENTIN, DE SCHRYVER, CHRISTIAN, WEHN, NORBERT

On an employer assignment, the assignors are typically the inventors.

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