Images about active learning for graph curating, adaptive schema evolution, automated ontology construction and refinement, contextualized reasoning with large language models, cross-domain reasoning and transfer learning, deep graph embeddings for efficient storage and retrieval, domain-specific customization and specialized reasoners, entity extraction and linking from unstructured text, explainable ai for trustworthy reasoning, graph neural networks and graph transformers, incremental and online updating of knowledge graphs, integration of symbolic and sub-symbolic methods, link prediction and knowledge graph completion, multi-modal data integration, probabilistic and uncertain reasoning, quality assurance and error detection, scalable distributed reasoning, schema and ontology alignment across multiple sources, semantic enrichment of structured data sources, and temporal and evolving knowledge graphs.
