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Hu et al., 2022 - Google Patents

Subgraph Matching Based on Path Adaptation for Large-Scale Graph

Hu et al., 2022

Document ID
15804483518272824143
Author
Hu X
Lin S
Xiong G
Jiang W
Publication year
Publication venue
International Conference on Machine Learning for Cyber Security

External Links

Snippet

To increase the accuracy and decrease the cost of subgraph querying in large-scale graph data, a subgraph matching method based on path adaptation is proposed. An index is built based on path RDF, and the query graph is decomposed into a set of paths to obtain a set of …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
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    • G—PHYSICS
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    • G06F17/30312—Storage and indexing structures; Management thereof
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
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    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06F17/30958—Graphs; Linked lists
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30994—Browsing or visualization
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