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cs.AI2024
Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
Jeffrey Sardina, Luca Costabello, Christophe Guéret
Knowledge Graphs (KGs) have become increasingly common for representing large-scale linked data. However, their immense size has required graph learning systems to assist humans in…
cs.AI2024
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
In this paper we introduce TWIG (Topologically-Weighted Intelligence Generation), a novel, embedding-free paradigm for simulating the output of KGEs that uses a tiny fraction of th…