.- Research Track.
.- SnapE - Training Snapshot Ensembles of Link Prediction Models.
.- Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets.
.- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web.
.- Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs.
.- Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery.
.- Repairing Networks of EL? Ontologies using Weakening and Completing.
.- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective.
.- Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion.
.- Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation.
.- Unaligned Federated Knowledge Graph Embedding.
.- Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion.
.- BLINK: Blank Node Matching Using Embeddings.
.- Distilling Event Sequence Knowledge From Large Language Models.
