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Bai et al., 2019 - Google Patents

Simgnn: A neural network approach to fast graph similarity computation

Bai et al., 2019

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Document ID
3241774953063345385
Author
Bai Y
Ding H
Bian S
Chen T
Sun Y
Wang W
Publication year
Publication venue
Proceedings of the twelfth ACM international conference on web search and data mining

External Links

Snippet

Graph similarity search is among the most important graph-based applications, eg finding the chemical compounds that are most similar to a query compound. Graph similarity/distance computation, such as Graph Edit Distance (GED) and Maximum Common …
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Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
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