{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T16:42:46Z","timestamp":1790959366008,"version":"4.1.0"},"reference-count":86,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T00:00:00Z","timestamp":1742256000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychiatry"],"abstract":"<jats:p>Neurological disorders (e.g., Alzheimer\u2019s disease and Parkinson\u2019s disease) and mental disorders (e.g., depression and anxiety), pose huge challenges to global public health. The pathogenesis of these diseases can usually be attributed to many factors, such as genetic, environmental and socioeconomic status, which make the diagnosis and treatment of the diseases difficult. As research on the diseases advances, so does the body of medical data. The accumulation of such data provides unique opportunities for the basic and clinical study of these diseases, but the vast and diverse nature of the data also make it difficult for physicians and researchers to precisely extract the information and utilize it in their work. A powerful tool to extract the necessary knowledge from large amounts of data is knowledge graph (KG). KG, as an organized form of information, has great potential for the study neurological and mental disorders when it is paired with big data and deep learning technologies. In this study, we reviewed the application of KGs in common neurological and mental disorders in recent years. We also discussed the current state of medical knowledge graphs, highlighting the obstacles and constraints that still need to be overcome.<\/jats:p>","DOI":"10.3389\/fpsyt.2025.1452557","type":"journal-article","created":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T07:00:24Z","timestamp":1742281224000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Knowledge graph and its application in the study of neurological and mental disorders"],"prefix":"10.3389","volume":"16","author":[{"given":"Qizheng","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijie","family":"Quan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengjie","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongli","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ju","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,3,18]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0885-05.2005","article-title":"Aldolases a and C are ribonucleolytic components of a neuronal complex that regulates the stability of the light-neurofilament mRNA","volume":"25","author":"Canete-Soler","year":"2005","journal-title":"J Neurosci"},{"key":"B2","doi-asserted-by":"publisher","first-page":"a028035","DOI":"10.1101\/cshperspect.a028035","article-title":"Pathology of neurodegenerative diseases","volume":"9","author":"Dugger","year":"2017","journal-title":"Cold Spring Harb Perspect Biol"},{"key":"B3","doi-asserted-by":"publisher","first-page":"e3454","DOI":"10.1136\/bmj.e3454","article-title":"Time to end the distinction between mental and neurological illnesses","volume":"344","author":"White","year":"2012","journal-title":"BMJ"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1192\/pb.bp.113.046227","article-title":"Do psychiatry and neurology need a close partnership or a merger","volume":"39","author":"Fitzgerald","year":"2015","journal-title":"BJPsych Bull"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1136\/practneurol-2013-000761","article-title":"Neurology is psychiatry\u2013and vice versa","volume":"14","author":"Zeman","year":"2014","journal-title":"Pract Neurol"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1038\/s44220-023-00086-0","article-title":"Time to synergize mental health with brain health","volume":"1","author":"Ibanez","year":"2023","journal-title":"Nat Ment Health"},{"key":"B7","first-page":"790","article-title":"Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases","author":"Panahiazar","year":"2014"},{"key":"B8","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1109\/TNNLS.2021.3070843","article-title":"A survey on knowledge graphs: representation, acquisition, and applications","volume":"33","author":"Ji","year":"2022","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1111\/acps.v151.3","article-title":"Knowledge graphs in psychiatric research: Potential applications and future perspectives","volume":"151","author":"Freidel","year":"2025","journal-title":"Acta Psychiatr Scand"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1016\/j.vaccine.2017.05.052","article-title":"Semantic network analysis of vaccine sentiment in online social media","volume":"35","author":"Kang","year":"2017","journal-title":"Vaccine"},{"key":"B11","first-page":"16","article-title":"What constitutes semantic network analysis? A comparison of research and methodologies","volume":"21","author":"Doerfel","year":"1998","journal-title":"Connections"},{"key":"B12","doi-asserted-by":"crossref","first-page":"102325","DOI":"10.1016\/j.datak.2024.102325","article-title":"Explanation, semantics, and ontology","volume":"153","author":"Guizzardi","year":"2024","journal-title":"Data & Knowledge Engineering"},{"key":"B13","volume":"52","author":"Berners-Lee","year":"2023","journal-title":"The World-Wide Web. In: Linking the World\u2019s Information: Essays on Tim Berners-Lee\u2019s Invention of the\u00a0World Wide Web"},{"key":"B14","doi-asserted-by":"crossref","DOI":"10.1145\/3591366.3591376","article-title":"The Semantic Web: A New Form of Web Content that is Meaningful to Computers will Unleash a Revolution of New Possibilities","volume-title":"Linking the World\u2019s Information: Essays on Tim Berners-Lee\u2019s Invention of the World Wide Web","author":"Berners-Lee","year":"2023"},{"key":"B15","first-page":"1","article-title":"Official Google Blog: Introducing the Knowledge Graph: things, not strings","author":"Singhal","year":"2012","journal-title":"Off Google Blog"},{"key":"B16","doi-asserted-by":"publisher","first-page":"489","DOI":"10.3233\/SW-160218","article-title":"Automatic knowledge graph refinement","volume":"8","author":"Paulheim","year":"2016","journal-title":"Semantic Web"},{"key":"B17","doi-asserted-by":"publisher","first-page":"2587","DOI":"10.7544\/ISSN1000-1239.2018.20180623","article-title":"Research review of knowledge graph and its application in medical domain","volume":"55","author":"Cai","year":"2018","journal-title":"J Comput Res Dev"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2013.393","article-title":"The inevitable application of big data","volume":"309","author":"Murdoch Tb","year":"2013","journal-title":"JAMA"},{"key":"B19","doi-asserted-by":"publisher","first-page":"107220","DOI":"10.1016\/j.cmpb.2022.107220","article-title":"Clinical decision support system for hypertension medication based on knowledge graph","volume":"227","author":"Zhou","year":"2022","journal-title":"Comput Methods Programs BioMed"},{"key":"B20","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1038\/s41597-023-01960-3","article-title":"Building a knowledge graph to enable precision medicine","volume":"10","author":"Chandak","year":"2023","journal-title":"Sci Data"},{"key":"B21","doi-asserted-by":"publisher","first-page":"3570","DOI":"10.1038\/s41467-023-39301-y","article-title":"Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers","volume":"14","author":"Bang","year":"2023","journal-title":"Nat Commun"},{"key":"B22","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1186\/s12859-023-05451-5","article-title":"A knowledge graph approach to predict and interpret disease-causing gene interactions","volume":"24","author":"Renaux","year":"2023","journal-title":"BMC Bioinf"},{"key":"B23","doi-asserted-by":"publisher","first-page":"btad440","DOI":"10.1093\/bioinformatics\/btad440","article-title":"RDBridge: a knowledge graph of rare diseases based on large-scale text mining","volume":"39","author":"Xing","year":"2023","journal-title":"Bioinformatics"},{"key":"B24","doi-asserted-by":"publisher","first-page":"e45268","DOI":"10.2196\/45268","article-title":"Leveraging knowledge graphs and natural language processing for automated web resource labeling and knowledge mobilization in neurodevelopmental disorders: development and usability study","volume":"25","author":"Costello","year":"2023","journal-title":"J Med Internet Res"},{"key":"B25","doi-asserted-by":"publisher","first-page":"104403","DOI":"10.1016\/j.jbi.2023.104403","article-title":"Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study","volume":"143","author":"Murali","year":"2023","journal-title":"J BioMed Inform"},{"key":"B26","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-69182-4_16","article-title":"Constructing knowledge graphs of depression","author":"Huang","year":"2017"},{"key":"B27","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s13326-020-00228-8","article-title":"Identifying disease trajectories with predicate information from a knowledge graph","volume":"11","author":"Vlietstra","year":"2020","journal-title":"J BioMed Semantics"},{"key":"B28","doi-asserted-by":"publisher","first-page":"104368","DOI":"10.1016\/j.jbi.2023.104368","article-title":"Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer\u2019s disease","volume":"142","author":"Malec","year":"2023","journal-title":"J BioMed Inform"},{"key":"B29","doi-asserted-by":"publisher","first-page":"1081087","DOI":"10.3389\/fmed.2023.1081087","article-title":"Early detection of Parkinson\u2019s disease through enriching the electronic health record using a biomedical knowledge graph","volume":"10","author":"Soman","year":"2023","journal-title":"Front Med (Lausanne)"},{"key":"B30","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1146\/annurev-clinpsy-050817-084917","article-title":"Attention deficit hyperactivity disorder (ADHD): controversy, developmental mechanisms, and multiple levels of analysis","volume":"14","author":"Hinshaw","year":"2018","journal-title":"Annu Rev Clin Psychol"},{"key":"B31","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.3390\/s22041545","article-title":"Graph representation learning-based early depression detection framework in smart home environments","volume":"22","author":"Kim","year":"2022","journal-title":"Sensors (Basel)"},{"key":"B32","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1142\/S1793351X13400126","article-title":"Graphical induction of qualified medical knowledge","volume":"7","author":"Goodwin","year":"2013","journal-title":"Int J Semantic Computing"},{"key":"B33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2021\/5222745","article-title":"Research on medical knowledge graph for stroke","volume":"2021","author":"Cheng","year":"2021","journal-title":"J Healthcare Eng"},{"key":"B34","author":"Vlietstra","year":""},{"key":"B35","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/s13755-023-00253-8","article-title":"ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder","volume":"11","author":"Papadakis","year":"2023","journal-title":"Health Inf Sci Syst"},{"key":"B36","author":"Kaur","year":""},{"key":"B37","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s13755-020-00128-2","article-title":"Predicting the relationships between gut microbiota and mental disorders with knowledge graphs","volume":"9","author":"Liu","year":"2020","journal-title":"Health Inf Sci Syst"},{"key":"B38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/bib\/bbad340","article-title":"MMiKG a knowledge graph-based platform for path mining of microbiota\u2013mental diseases interactions","volume":"24","author":"Haoran Sun","year":"2023","journal-title":"Briefings Bioinf"},{"key":"B39","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1186\/s12859-022-04934-1","article-title":"Mining on Alzheimer\u2019s diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing","volume":"23","author":"Nian","year":"2022","journal-title":"BMC Bioinf"},{"key":"B40","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1186\/s12859-021-04530-9","article-title":"Knowledge graph analytics platform with LINCS and IDG for Parkinson\u2019s disease target illumination","volume":"23","author":"Yang","year":"2022","journal-title":"BMC Bioinf"},{"key":"B41","doi-asserted-by":"publisher","first-page":"1136177","DOI":"10.3389\/fnagi.2023.1136177","article-title":"Postural control of Parkinson\u2019s disease: A visualized analysis based on Citespace knowledge graph","volume":"15","author":"Li","year":"2023","journal-title":"Front Aging Neurosci"},{"key":"B42","doi-asserted-by":"publisher","first-page":"104464","DOI":"10.1016\/j.jbi.2023.104464","article-title":"Graph embedding-based link prediction for literature-based discovery in Alzheimer\u2019s Disease","volume":"145","author":"Pu","year":"2023","journal-title":"J BioMed Inform"},{"key":"B43","first-page":"63","article-title":"MDepressionKG: a knowledge graph for metabolism-depression associations","author":"Fu","year":"2021"},{"key":"B44","doi-asserted-by":"publisher","first-page":"102677","DOI":"10.1016\/j.artmed.2023.102677","article-title":"Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health","volume":"145","author":"Fu","year":"2023","journal-title":"Artif Intell Med"},{"key":"B45","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-03916-9_7","article-title":"Knowledge-based patient data generation","volume-title":"Process Support and Knowledge Representation in Health Care","author":"Huang","year":"2013"},{"key":"B46","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-020-00811-0","article-title":"Multi-source knowledge fusion: a survey","volume":"23","author":"Zhao","year":"2020","journal-title":"World Wide Web"},{"key":"B47","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkh061","article-title":"The Unified Medical Language System (UMLS): integrating biomedical terminology","volume":"32","author":"Bodenreider","year":"2004","journal-title":"Nucleic Acids Res"},{"key":"B48","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1186\/s12859-020-3517-7","article-title":"Broad-coverage biomedical relation extraction with SemRep","volume":"21","author":"Kilicoglu","year":"2020","journal-title":"BMC Bioinf"},{"key":"B49","doi-asserted-by":"publisher","DOI":"10.1093\/ilar\/ilx004","article-title":"Informatics support for basic research in biomedicine","volume":"58","author":"Rindflesch","year":"2017","journal-title":"ILAR J"},{"key":"B50","doi-asserted-by":"publisher","first-page":"954","DOI":"10.15252\/msb.20177651","article-title":"From word models to executable models of signaling networks using automated assembly","volume":"13","author":"Gyori","year":"2017","journal-title":"Mol Syst Biol"},{"key":"B51","doi-asserted-by":"publisher","first-page":"561691","DOI":"10.3389\/fninf.2021.561691","article-title":"Integrative base ontology for the research analysis of alzheimer\u2019s disease-related mild cognitive impairment","volume":"15","author":"Gomez-Valades","year":"2021","journal-title":"Front Neuroinform"},{"key":"B52","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkt441","article-title":"PubTator: a web-based text mining tool for assisting biocuration","volume":"41","author":"Wei","year":"2013","journal-title":"Nucleic Acids Res"},{"key":"B53","first-page":"1","author":"Roy","year":""},{"key":"B54","doi-asserted-by":"publisher","first-page":"e24938","DOI":"10.2196\/24938","article-title":"Drug abuse ontology to harness web-based data for substance use epidemiology research: ontology development study","volume":"8","author":"Lokala","year":"2022","journal-title":"JMIR Public Health Surveill"},{"key":"B55","doi-asserted-by":"publisher","first-page":"e25959","DOI":"10.1016\/j.heliyon.2024.e25959","article-title":"Enhancing multimodal depression diagnosis through representation learning and knowledge transfer","volume":"10","author":"Yang","year":"2024","journal-title":"Heliyon"},{"key":"B56","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2203.08893","article-title":"Multimodal learning on graphs for disease relation extraction","volume":"143","author":"Lin","year":"2022","journal-title":"J Biomed Inform."},{"key":"B57","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btac085","article-title":"Multimodal reasoning based on knowledge graph embedding for specific diseases","volume":"38","author":"Zhu","year":"2022","journal-title":"Bioinformatics"},{"key":"B58","first-page":"25","article-title":"Building semantic based recommender system using knowledge graph embedding","author":"Kartheek","year":"2021"},{"key":"B59","doi-asserted-by":"publisher","first-page":"e032112","DOI":"10.1136\/bmjopen-2019-032112","article-title":"Antiviral therapy: Valacyclovir Treatment of Alzheimer\u2019s Disease (VALAD) Trial: protocol for a randomised, double-blind,placebo-controlled, treatment trial","volume":"10","author":"Devanand","year":"2020","journal-title":"BMJ Open"},{"key":"B60","doi-asserted-by":"publisher","DOI":"10.1111\/jnc.2013.124.issue-3","article-title":"Betaine attenuates Alzheimer-like pathological changes and memory deficits induced by homocysteine","volume":"124","author":"Chai","year":"2013","journal-title":"J Neurochem"},{"key":"B61","doi-asserted-by":"publisher","first-page":"770502","DOI":"10.3389\/fphys.2021.770502","article-title":"Amifostine (WR-2721) mitigates cognitive injury induced by heavy ion radiation in male mice and alters behavior and brain connectivity","volume":"12","author":"Boutros","year":"2021","journal-title":"Front Physiol"},{"key":"B62","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-publhealth-031912-114409","article-title":"The epidemiology of depression across cultures","volume":"34","author":"Kessler","year":"2013","journal-title":"Annu Rev Public Health"},{"key":"B63","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(18)31948-2","article-title":"Depression","volume":"392","author":"Malhi","year":"2018","journal-title":"Lancet"},{"key":"B64","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.184.5.386","article-title":"Global burden of depressive disorders in the year 2000","volume":"184","author":"Ustun","year":"2004","journal-title":"Br J Psychiatry"},{"key":"B65","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.bp.111.097519","article-title":"Role of common mental and physical disorders in partial disability around the world","volume":"200","author":"Bruffaerts","year":"2012","journal-title":"Br J Psychiatry"},{"key":"B66","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1097\/HRP.0000000000000054","article-title":"Genetic determinants of depression: recent findings and future directions","volume":"23","author":"Dunn","year":"2015","journal-title":"Harv Rev Psychiatry"},{"key":"B67","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1097\/YCO.0000000000000023","article-title":"Antidepressant pharmacogenetics","volume":"27","author":"Singh","year":"2014","journal-title":"Curr Opin Psychiatry"},{"key":"B68","doi-asserted-by":"publisher","DOI":"10.4088\/JCP.14m09298","article-title":"The economic burden of adults with major depressive disorder in the United States (2005 and 2010)","volume":"76","author":"Greenberg","year":"2015","journal-title":"J Clin Psychiatry"},{"key":"B69","doi-asserted-by":"publisher","first-page":"3","DOI":"10.2147\/NDT.S19617","article-title":"The increasing burden of depression","volume":"7","author":"Lepine","year":"2011","journal-title":"Neuropsychiatr Dis Treat"},{"key":"B70","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.157.12.1925","article-title":"Affective disorders and suicide risk: a reexamination","volume":"157","author":"Bostwick","year":"2000","journal-title":"Am J Psychiatry"},{"key":"B71","doi-asserted-by":"publisher","first-page":"1425","DOI":"10.3390\/ijerph15071425","article-title":"Epidemiology of suicide and the psychiatric perspective","volume":"15","author":"Bachmann","year":"2018","journal-title":"Int J Environ Res Public Health"},{"key":"B72","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.jad.2017.02.029","article-title":"Restoring function in major depressive disorder: A systematic review","volume":"215","author":"Sheehan","year":"2017","journal-title":"J Affect Disord"},{"key":"B73","doi-asserted-by":"crossref","DOI":"10.1109\/BIBM52615.2021.9669447","article-title":"Construction of depression knowledge graph based on biomedical literature","author":"Li","year":"2021"},{"key":"B74","doi-asserted-by":"publisher","first-page":"920920","DOI":"10.3389\/fpsyg.2022.920920","article-title":"Hierarchical structure of depression knowledge network and co-word analysis of focus areas","volume":"13","author":"Yu","year":"2022","journal-title":"Front Psychol"},{"key":"B75","volume-title":"Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT","author":"Zhang","year":"2023"},{"key":"B76","article-title":"Recipe for a general, powerful, scalable graph transformer","author":"Ramp\u00e1\u0161ek","year":"2022"},{"key":"B77","volume-title":"Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs)","author":"Chen","year":"2023"},{"key":"B78","first-page":"9","article-title":"Interpretability of knowledge graph-based explainable process analysis","author":"F\u00fc\u00dfl","year":"2022"},{"key":"B79","doi-asserted-by":"publisher","DOI":"10.1038\/s41587-019-0080-8","article-title":"FAIRsharing as a community approach to standards, repositories and policies","volume":"37","author":"Sansone","year":"2019","journal-title":"Nat Biotechnol"},{"key":"B80","doi-asserted-by":"publisher","first-page":"e39370","DOI":"10.1097\/MD.0000000000039370","article-title":"Research on privacy protection in the context of healthcare data based on knowledge map","volume":"103","author":"Ouyang","year":"2024","journal-title":"Med (Baltimore)"},{"key":"B81","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/s13755-020-0102-4","article-title":"Automatic approach for constructing a knowledge graph of knee osteoarthritis in Chinese","volume":"8","author":"Li","year":"2020","journal-title":"Health Inf Sci Syst"},{"key":"B82","doi-asserted-by":"publisher","DOI":"10.1145\/3424672","article-title":"Knowledge graph embedding for link prediction: A comparative analysis","volume":"15","author":"Rossi","year":"2021","journal-title":"J ACM Trans Knowl Discovery Data"},{"key":"B83","volume-title":"Link prediction based on graph neural networks","author":"Zhang","year":"2018"},{"key":"B84","doi-asserted-by":"publisher","first-page":"103627","DOI":"10.1016\/j.artint.2021.103627","article-title":"Knowledge graphs as tools for explainable machine learning: A survey","volume":"302","author":"Tiddi","year":"2022","journal-title":"Artif Intell"},{"key":"B85","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-023-05591-8","article-title":"A comprehensive survey of link prediction methods","volume":"80","author":"Arrar","year":"2024","journal-title":"J Supercomputing"},{"key":"B86","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2023.3339858","article-title":"The EMPWR platform: data and knowledge-driven processes for the knowledge graph lifecycle","volume":"28","author":"Yip","year":"2024","journal-title":"IEEE Internet Computing"}],"container-title":["Frontiers in Psychiatry"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpsyt.2025.1452557\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T07:00:32Z","timestamp":1742281232000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpsyt.2025.1452557\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,18]]},"references-count":86,"alternative-id":["10.3389\/fpsyt.2025.1452557"],"URL":"https:\/\/doi.org\/10.3389\/fpsyt.2025.1452557","relation":{},"ISSN":["1664-0640"],"issn-type":[{"value":"1664-0640","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,18]]},"article-number":"1452557"}}