A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings

NA Krishnan, CR Rivero - Proceedings of the 32nd ACM International …, 2023 - dl.acm.org
In link prediction evaluation, an embedding model assigns plausibility scores to unseen
triples in a knowledge graph using an input partial triple. Performance metrics like mean …

Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs

A Rao, NA Krishnan, CR Rivero - Proceedings of the ACM on Web …, 2024 - dl.acm.org
Link prediction models assign scores to predict new, plausible edges to complete
knowledge graphs. In link prediction evaluation, the score of an existing edge (positive) is …

Machine Learning and Knowledge Graphs: Existing Gaps and Future Research Challenges

C d'Amato, L Mahon, P Monnin… - Transactions on Graph …, 2023 - inria.hal.science
The graph model is nowadays largely adopted to model a wide range of knowledge and
data, spanning from social networks to knowledge graphs (KGs), representing a successful …