Fig. 3: Condition-related knowledge and causal structure in the MDKG.
From: Large language model powered knowledge graph construction for mental health exploration
a Word cloud showing the most frequent condition-related entities extracted from literature-derived triplets in the MDKG. Font size is proportional to entity frequency, highlighting prevalent clinical and behavioral features linked to mental disorders. b Top 10 most frequently mentioned condition-related entities in elderly and adolescent populations based on literature triplets containing conditional statements. c Example of a causal knowledge graph centered on depression, constructed by linking unidirectional risk relationships extracted from the literature. Nodes represent biological, psychological, or environmental factors, while directed edges indicate potential causal influence as inferred from the literature. The source data are provided as a Source Data file.
