Papers by Arvindh Arun
SEMMA: A Semantic Aware Knowledge Graph Foundation Model (2025.emnlp-main)
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Arvindh Arun, Sumit Kumar, Mojtaba Nayyeri, Bo Xiong, Ponnurangam Kumaraguru, Antonio Vergari, Steffen Staab
| Challenge: | Existing Knowledge Graph Foundation Models (KGFMs) rely on graph structure, overlooking the rich semantic signals encoded in textual attributes. |
| Approach: | They propose a dual-module KGFM that integrates transferable textual semantics alongside structure to generate relation identifiers. |
| Outcome: | The proposed model outperforms ULTRA and ULtra in fully inductive link prediction in more challenging generalization settings. |