Incremental Graph Pattern Matching Algorithm for Big Graph Data

المؤلفون المشاركون

Gao, Jianliang
Zhang, Lixia

المصدر

Scientific Programming

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-01-22

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الرياضيات

الملخص EN

Graph pattern matching is widely used in big data applications.

However, real-world graphs are usually huge and dynamic.

A small change in the data graph or pattern graph could cause serious computing cost.

Incremental graph matching algorithms can avoid recomputing on the whole graph and reduce the computing cost when the data graph or the pattern graph is updated.

The existing incremental algorithm PGC_IncGPM can effectively reduce matching time when no more than half edges of the pattern graph are updated.

However, as the number of changed edges increases, the improvement of PGC_IncGPM gradually decreases.

To solve this problem, an improved algorithm iDeltaP_IncGPM is developed in this paper.

For multiple insertions (resp., deletions) on pattern graphs, iDeltaP_IncGPM determines the nodes’ matching state detection sequence and processes them together.

Experimental results show that iDeltaP_IncGPM has higher efficiency and wider application range than PGC_IncGPM.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhang, Lixia& Gao, Jianliang. 2018. Incremental Graph Pattern Matching Algorithm for Big Graph Data. Scientific Programming،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214737

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhang, Lixia& Gao, Jianliang. Incremental Graph Pattern Matching Algorithm for Big Graph Data. Scientific Programming No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1214737

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhang, Lixia& Gao, Jianliang. Incremental Graph Pattern Matching Algorithm for Big Graph Data. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214737

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1214737