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The provided content discusses the concept of graph thinking as a cognitive framework for problem-solving, emphasizing its relevance in the field of knowledge graphs and its alignment with human cognitive development from novice to expert. Abstract Graph thinking is presented as an emerging cognitive framework within the knowledge graph community, focusing on understanding complex problems by conceptualizing them as interconnected graphs. This approach is rooted in the historical context of computational and statistical thinking, and it is closely related to systems thinking. The article highlights the work of various experts, including Denise Gosnell, Matthias Broecheler, Dan McCreary, and Andreas Kollegger, who have contributed to the development and application of graph thinking in various domains. The concept is further linked to learning theory, illustrating how individuals progress from memorizing facts to organizing knowledge into graph-like structures as they become experts. Th
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