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Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Alessandro De Bellis, Salvatore Bufi, Giovanni Servedio, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio
https://arxiv.org/abs/2509.26224

Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Inductive link prediction is emerging as a key paradigm for real-world knowledge graphs (KGs), where new entities frequently appear and models must generalize to them without retraining. Predicting links in a KG faces the challenge of guessing previously unseen entities by leveraging generalizable node features such as subgraph structure, type annotations, and ontological constraints. However, explicit type information is often lacking or incomplete. Even when available, type information in mos…

👻🧹 🍁 🎃 Ihr sprecht diese bezaubernde Sprache namens SPARQL nicht, seid aber dennoch neugierig, was unser #CultureKnowledgeGraph für
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