One-class edge classification through heterogeneous hypergraph for causal discovery
Abstract Causal discovery from event pairs is essential for understanding complex real-world phenomena. Large language models (LLMs) have shown strong capabilities in capturing the semantics of events and inferring plausible cause-effect relations from text. However, they typically process each even...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-11-01
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| Col·lecció: | Scientific Reports |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1038/s41598-025-28842-5 |
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