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A temporal property graph data model compatible with static graphs and its temporal graph query language
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DOI：10.1504/IJSNET.2026.152180.png)
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Abstract
En 中文
To address the issues of the disconnection between static and dynamic data in existing temporal graph data models and the insufficient usability of temporal graph query languages, this paper proposes the temporal property graph model compatible with static graphs (TPGMSG), a temporal property graph model compatible with static graphs, along with its query language the temporal graph query language compatible with static graphs (TGQLSG). The model distinguishes between dynamic and static elements, supports the temporal evolution of nodes, edges, and attributes. TGQLSG, as a temporal extension of GQL (the graph query language standard), offers a declarative syntax and comprehensive temporal query capabilities. Furthermore, a Neo4j-based implementation scheme is proposed, where a converter transforms TGQLSG queries into GQL queries. Experimental results show that this model achieves 20.7% and 40.3% improvements in time performance compared to traditional property graphs and static-incompatible models, respectively, while reducing storage space by 79.7%.
Keywords:
temporal graph
static graph
graph data model
graph query language
sensor
Journal
IF:
1.1
Papers:
237
Citations:
460