Papers by Christos Theodoropoulos
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors (2025.findings-acl)
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| Challenge: | Existing methods that encode textual and structural information for inductive link prediction are frugal and fast at training and inference time. |
| Approach: | They propose a Transformer-based framework that unifies textual and structural information for inductive link prediction in text-attributed knowledge graphs by encoding ego-graphs (1-hop neighbourhoods). |
| Outcome: | The proposed framework can achieve superior performance on three popular datasets and reduce the reliance on resource-intensive encoders. |