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FITTER: Vocabulary-Agnostic Cross-Domain Inference on Temporal Knowledge Graphs
Jiaxin Pan, Mojtaba Nayyeri, Osama Mohammed +4
Temporal knowledge graphs are central to many uses of the Semantic Web, but existing completion methods assume the entities, relation names, and timestamps to be reasoned about are…
GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention
Jiaxin Pan, Osama Mohammed, Daniel Hernández +1
Knowledge graph foundation models such as Ultra and Trix achieve strong inductive transfer by learning relation-graph representations that generalise to unseen entities and relatio…
On the Semantics of Generative SPARQL
Ratan Bahadur Thapa, Steffen Staab
We extend SPARQL with a generative query construct, called \tx{GenOp}, whose evaluation calls a language model and produces typed solution mappings. We define the semantics of the…
Half a Link can Be Enough to Predict a Whole Link: Understanding Generalization in Knowledge Graph Foundation Models
Cosimo Gregucci, Obaidah Theeb, Daniel Hernandez +2
Knowledge graph (KG) foundation models (KGFMs) are zero-shot generalizers: trained once, they can predict links on unseen graphs without retraining. However, understanding when and…