A Graph Classification Method Based on Support Vector Machines and Locality-Sensitive Hashing
Graphs classification is a relevant problem that arises in many disciplines. Using graphs directly instead of vectorization allows exploiting the intrinsic representations of the data. Support Vector Machines (SVM) is a supervised learning method based on the use of graph kernel functions used for t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10410853/ |