GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism
• Attention mechanism helps to obtain information in the neighborhood. • Incorporate the information in multi-hop neighborhood to embed the target entitie. • Adjust the attention value according to the variation of path length. • Graph Attention Faded Mechiasm can help to obtain more appropriate att...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ma, Jiangtao [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Übergeordnetes Werk: |
Enthalten in: Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts - Feng, Yonghai ELSEVIER, 2014, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:59 ; year:2022 ; number:5 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.ipm.2022.103004 |
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GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism |
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• Attention mechanism helps to obtain information in the neighborhood. • Incorporate the information in multi-hop neighborhood to embed the target entitie. • Adjust the attention value according to the variation of path length. • Graph Attention Faded Mechiasm can help to obtain more appropriate attention value. |
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• Attention mechanism helps to obtain information in the neighborhood. • Incorporate the information in multi-hop neighborhood to embed the target entitie. • Adjust the attention value according to the variation of path length. • Graph Attention Faded Mechiasm can help to obtain more appropriate attention value. |
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• Attention mechanism helps to obtain information in the neighborhood. • Incorporate the information in multi-hop neighborhood to embed the target entitie. • Adjust the attention value according to the variation of path length. • Graph Attention Faded Mechiasm can help to obtain more appropriate attention value. |
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