Multimodal graph neural network with large language models for node and link prediction
IntroductionGraph data representation is widely applicable in numerous real-world scenarios, and recent advances in graph neural networks (GNNs) have enabled effective modeling of complex associations in graph-structured data. However, GNNs are often constrained by the over-smoothing problem, which...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2026-06-01
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| シリーズ: | Frontiers in Artificial Intelligence |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/frai.2026.1758852/full |
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