Editorial: Preface for the Special Issue on Knowledge Graph Generation from Text

This special issue on Knowledge Graph Generation from Text aims to capture recent advances and emerging trends in this field, with particular emphasis on the impact of large language models (LLMs) and foundation models on knowledge graph construction. At the same time, it addresses persistent challenges related to accuracy, completeness, bias, privacy, provenance, and scalability.While significant progress has been made across domains such as scientific knowl edge, question answering, commonsense reasoning, automotive systems, and biomedicine, the automated creation of large-scale, high-quality knowledge graphs from text remains an open challenge. This special issue provides a focused forum to consolidate current research, assess limitations, and stimulate future directions.