Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval
Traditional operations, e.g. graph edit distance (GED), are no longer suitable for processing the massive quantities of graph-structured data now available, due to their irregular structures and high computational complexities. With the advent of graph neural networks (GNNs), the problems of graph r...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 03., Seite 6321-6334
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| 1. Verfasser: |
Wang, Jinbao
(VerfasserIn) |
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| Weitere Verfasser: |
Xu, Shuo,
Zheng, Feng,
Lu, Ke,
Song, Jingkuan,
Shao, Ling |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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