- 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.