Analysis of Attention Mechanisms in Box-Embedding Systems. - Jeffrey Sardina; Callie Sardina; John D. Kelleher; Declan O'Sullivan (AICS, 2022)

Structural Characteristics of Knowledge Graphs Determine the Quality of Knowledge Graph Embeddings Across Model and Hyperparameter Choices. - Jeffrey Sardina; Declan O'Sullivan (SeWeBMeDA@ESWC, 2022)

Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure. - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (AICS, 2024)

NamE: Capturing Biological Context in KGEs via Contextual Named Graph Embeddings. - Jeffrey Sardina; Luca Costabello; Christophe Guéret; Hossein Mohammadi (EMBC, 2024)

TWIG-I: Embedding-Free Link Prediction and Cross-KG Transfer Learning Using a Small Neural Architecture. - Jeffrey Sardina; Alok Debnath; John D. Kelleher; Declan O'Sullivan (SEMANTICS, 2024)

Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning. - Jeffrey Sardina; Luca Costabello; Christophe Guéret (ICSC, 2024)

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models. - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (ICSC, 2024)

A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings. - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (ICSC, 2025)