Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning
Similarity-based retrieval of semantic graphs is a crucial task of Process-Oriented Case-Based Reasoning (POCBR) that is usually complex and time-consuming, as it requires some kind of inexact graph matching. Previous work tackles this problem by using Graph Neural Networks (GNNs) to learn pairwise...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
LibraryPress@UF
2023-05-01
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| سلاسل: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://journals.flvc.org/FLAIRS/article/view/133040 |
| الوسوم: |
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