Abstract: A vast amount of textual and structural information is required for knowledge graph construction ... where the encoder is a Pre-trained Language Model (PLM) and the decoder is a ...

Abstract: Temporal Knowledge ... graph structure information concurrently, resulting in insufficient association mining of relations. To address the challenge, we propose a novel model: Temporal ...

1 Department of Physics, Informatics and Mathematics, Università di Modena e Reggio Emilia, Modena, Italy 2 Expert.ai, Modena, Italy Knowledge Graphs (KGs ... various PLM-based KGE techniques require ...

Learn More In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse ... a large language model (LLM) like GPT ...

We convert (verbalize) these triples to natural language text to later use them in training/fine-tuning some Pretrained Language Models (PLMs): Once we verbalized the ATOMIC 2020 knowledge graph and ...

Within a graph database or knowledge graph, you can easily add information as you get it without messing up your schema or your data model. Adding more information just enhances your model.