التفاصيل البيبلوغرافية
| العنوان: |
Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs |
| المؤلفون: |
Hongbo Liu, Jicang Lu, Tianzhi Zhang, Xuemei Hou, Peng An |
| المصدر: |
PeerJ Computer Science, Vol 10, p e2324 (2024) |
| بيانات النشر: |
PeerJ Inc., 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: |
Knowledge graphs, Inductive link prediciton, Graph attention network, Personalized PageRank, Random walk, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: |
Inductive link prediction (ILP) in knowledge graphs (KGs) aims to predict missing links between entities that were not seen during the training phase. Recent some subgraph-based methods have shown some advancements, but they all overlook the relational semantics between entities during subgraph extraction. To overcome this limitation, we introduce a novel inductive link prediction model named SASILP (Structure and Semantic Inductive Link Prediction), which comprehensively incorporates relational semantics in both subgraph extraction and node initialization processes. The model employs a random walk strategy to calculate the structural scores of neighboring nodes and utilizes an enhanced graph attention network to determine their semantic scores. By integrating both structural and semantic scores, SASILP strategically selects key nodes to form a subgraph. Furthermore, the subgraph is initialized with a node initialization technique that integrates information about neighboring relations. The experiments conducted on benchmark datasets demonstrate that SASILP outperforms state-of-the-art methods on inductive link prediction tasks, and verify the effectiveness of our approach. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2376-5992 |
| Relation: |
https://peerj.com/articles/cs-2324.pdf; https://peerj.com/articles/cs-2324/; https://doaj.org/toc/2376-5992 |
| DOI: |
10.7717/peerj-cs.2324 |
| URL الوصول: |
https://doaj.org/article/b6fd203a40bc4b669fca95f7de99f406 |
| رقم الانضمام: |
edsdoj.b6fd203a40bc4b669fca95f7de99f406 |
| قاعدة البيانات: |
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