Graph data processing method and device, equipment and medium

Abstract

The invention discloses a graph data processing method and device, equipment and a medium. The method comprises the steps of obtaining to-be-processed target graph data; counting the target graph dataaccording to a first preset rule so as to divide the target graph data into different graph data blocks and determine boundary values and weights of the graph data blocks; and storing the boundary value and the weight of each graph data block into a corresponding memory according to a second preset rule, so as to schedule the target graph data by utilizing the boundary value and the weight in a graph calculation process. In this way, in the graph calculation process, the boundary value and the weight can be used for scheduling the target graph data, the target graph data block can be rapidlyand accurately scheduled, the graph data scheduling time is saved, and the graph data processing efficiency is improved.

Description

technical field

[0001] The present application relates to the technical field of graph data processing, and in particular to a graph data processing method, device, device, and medium. Background technique

[0002] In emerging applications such as the World Wide Web, social networks, genomic analysis, and medical informatics, graphs are becoming increasingly important for representing real web data. Since the graph data needs to be stored in the memory, the storage is limited by the memory resources and the size of the graph. Generally, a large-scale graph needs to be divided into several sub-graphs for storage, which often results in low efficiency of graph data scheduling Therefore, how to accurately and quickly schedule the target sub-blocks in graph computing to complete graph computing becomes an important issue. Contents of the invention

[0003] In view of this, the purpose of this application is to provide a graph data processing method, device, equipment, and med...

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