Graph data processing method and device, equipment and medium
A processing method and technology for graph data, which are applied in image data processing, special data processing applications, still image data retrieval, etc., and can solve problems such as low graph data scheduling efficiency, reduced graph computing performance, and limited scale.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2020-07-10
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Abstract
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...
Examples
Embodiment Construction
[0043] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0044] At present, since graph data needs to be stored in memory, the storage is limited by memory resources and the size of the graph. Generally, large-scale graphs usually need to be divided into several sub-graphs for storage. Quickly dispatch to the target sub-tile to solve the problem of graph computing performance degradation caused by inefficient graph data scheduling. In view of this, the present application proposes a graph data processing method, which can quickly and accu...