{"id":"https://openalex.org/W7166066057","doi":"https://doi.org/10.48550/arxiv.2606.26179","title":"KG-TRACE: A Neuro-Symbolic Framework for Mechanistic Grounding in Antimicrobial Resistance Prediction","display_name":"KG-TRACE: A Neuro-Symbolic Framework for Mechanistic Grounding in Antimicrobial Resistance Prediction","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7166066057","doi":"https://doi.org/10.48550/arxiv.2606.26179"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.26179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.26179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139435911","display_name":"Naman Garg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garg, Naman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107170917","display_name":"S Jain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jain, Sarika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139419189","display_name":"Sourav Yadav","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yadav, Sourav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077320731","display_name":"Bharat Bhargava","orcid":"https://orcid.org/0000-0003-3803-8672"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhargava, Bharat K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071101571","display_name":"Ghanapriya Singh","orcid":"https://orcid.org/0000-0002-6927-7652"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Ghanapriya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136616515","display_name":"A K Srivastava","orcid":"https://orcid.org/0000-0001-5152-8719"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srivastava, Abhishek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090815521","display_name":"Parimal Kar","orcid":"https://orcid.org/0000-0001-8451-9739"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kar, Parimal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10038","display_name":"Tuberculosis Research and Epidemiology","score":0.31940001249313354,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10038","display_name":"Tuberculosis Research and Epidemiology","score":0.31940001249313354,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.11190000176429749,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.08290000259876251,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.526199996471405},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.4740999937057495},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40540000796318054},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.3991999924182892},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.38199999928474426},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.37130001187324524},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.3246999979019165}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6545000076293945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5960999727249146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5769000053405762},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.526199996471405},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.4740999937057495},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35830000042915344},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2529999911785126},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.26179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.26179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"WGS-based":[1],"AMR":[2],"prediction":[3],"has":[4],"reached":[5],"high":[6],"accuracy,":[7],"existing":[8,47],"models":[9],"lack":[10],"a":[11,24,37,42,64,115,130,157],"mechanism":[12],"to":[13],"ground":[14],"neural":[15,43,71,122],"attributions":[16,123],"in":[17,53,100],"established":[18,125],"biological":[19,39,75],"pathways.":[20],"We":[21,151],"present":[22],"KG-TRACE,":[23],"novel":[25],"neuro-symbolic":[26,154],"framework":[27,128],"that":[28,49,118,153],"integrates":[29],"the":[30,79,110,164],"WHO":[31],"mutation":[32],"knowledge":[33],"graph":[34],"(KG)":[35],"as":[36],"structured":[38],"constraint":[40],"on":[41,78],"genomic":[44,57],"model.":[45],"Unlike":[46],"methods":[48],"learn":[50],"statistical":[51],"patterns":[52],"isolation,":[54],"KG-TRACE":[55,84],"fuses":[56],"features":[58],"and":[59,124,137,169],"RotatE-based":[60],"KG":[61],"embeddings":[62],"through":[63],"learned":[65],"epistemic":[66],"trust":[67],"gate,":[68],"dynamically":[69],"weighting":[70],"evidence":[72],"against":[73],"symbolic":[74,101,132],"knowledge.":[76],"Evaluated":[77],"CRyPTIC":[80],"M.":[81],"tuberculosis":[82],"cohort,":[83],"achieves":[85,129],"an":[86],"AUROC":[87],"of":[88,134],"0.9760":[89],"for":[90,148,161],"isoniazid,":[91],"achieving":[92],"competitive":[93],"accuracy":[94,168],"while":[95],"its":[96],"primary":[97],"value":[98],"lies":[99],"grounding,":[102],"not":[103],"predictive":[104,167],"uplift.":[105],"More":[106],"importantly,":[107],"we":[108],"introduce":[109],"Biological":[111],"Grounding":[112],"Ratio":[113],"(BGR),":[114],"dataset-level":[116],"metric":[117],"quantifies":[119],"alignment":[120],"between":[121,166],"biology.":[126],"Our":[127],"92.5%":[131],"coverage":[133],"isoniazid-resistant":[135],"predictions":[136],"effectively":[138],"identifies":[139],"MDR":[140],"co-occurrence":[141],"artifacts":[142],"by":[143],"issuing":[144],"laboratory":[145],"follow-up":[146],"flags":[147],"'UNCERTAIN'":[149],"cases.":[150],"demonstrate":[152],"grounding":[155],"provides":[156],"verifiable":[158],"audit":[159],"trail":[160],"clinicians,":[162],"bridging":[163],"gap":[165],"clinical":[170],"trust.":[171]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-27T00:00:00"}