{"id":"https://openalex.org/W7138876173","doi":"https://doi.org/10.1016/j.engappai.2026.114542","title":"Graph structure consistency and pseudo-label guided source-free domain adaptation for lithology identification","display_name":"Graph structure consistency and pseudo-label guided source-free domain adaptation for lithology identification","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7138876173","doi":"https://doi.org/10.1016/j.engappai.2026.114542"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114542","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114542","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.engappai.2026.114542","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130061480","display_name":"Jian Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Sun","raw_affiliation_strings":["College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China","Engineering Research Center of Development and Management for Low to Ultra-Low Permeability Oil & Gas Reservoirs in West China, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China","institution_ids":["https://openalex.org/I181903023"]},{"raw_affiliation_string":"Engineering Research Center of Development and Management for Low to Ultra-Low Permeability Oil & Gas Reservoirs in West China, Ministry of Education, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025670267","display_name":"Xin Sha","orcid":"https://orcid.org/0000-0003-2167-3127"},"institutions":[{"id":"https://openalex.org/I48780066","display_name":"Shenyang University of Chemical Technology","ror":"https://ror.org/03dbpdh75","country_code":"CN","type":"education","lineage":["https://openalex.org/I48780066"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Sha","raw_affiliation_strings":["College of Information Engineering, Shenyang University of Chemical Technology, Liaoning, Shenyang, 110142, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenyang University of Chemical Technology, Liaoning, Shenyang, 110142, China","institution_ids":["https://openalex.org/I48780066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129831714","display_name":"Rongjun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongjun Zhang","raw_affiliation_strings":["College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China","Engineering Research Center of Development and Management for Low to Ultra-Low Permeability Oil & Gas Reservoirs in West China, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China","institution_ids":["https://openalex.org/I181903023"]},{"raw_affiliation_string":"Engineering Research Center of Development and Management for Low to Ultra-Low Permeability Oil & Gas Reservoirs in West China, Ministry of Education, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100310019","display_name":"Long Ren","orcid":"https://orcid.org/0000-0002-1959-8765"},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Ren","raw_affiliation_strings":["College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China","Engineering Research Center of Development and Management for Low to Ultra-Low Permeability Oil & Gas Reservoirs in West China, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China","institution_ids":["https://openalex.org/I181903023"]},{"raw_affiliation_string":"Engineering Research Center of Development and Management for Low to Ultra-Low Permeability Oil & Gas Reservoirs in West China, Ministry of Education, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130138036","display_name":"Zhe Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China"],"affiliations":[{"raw_affiliation_string":"College of Petroleum Engineering, Xi'an Shiyou University, Xi'an, Shanxi, 710065, China","institution_ids":["https://openalex.org/I181903023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5130061480"],"corresponding_institution_ids":["https://openalex.org/I181903023"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":{"value":3170,"currency":"USD","value_usd":3170},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71134942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"174","issue":null,"first_page":"114542","last_page":"114542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.36489999294281006,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.36489999294281006,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.3160000145435333,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.03200000151991844,"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/graph","display_name":"Graph","score":0.5475999712944031},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5232999920845032},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5091000199317932},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4634000062942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.460099995136261},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43320000171661377},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.3952000141143799},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.38850000500679016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8273000121116638},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5232999920845032},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5091000199317932},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48019999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4781000018119812},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4634000062942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36559998989105225},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C122792734","wikidata":"https://www.wikidata.org/wiki/Q6538759","display_name":"Lithology","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29789999127388},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.114542","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114542","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.engappai.2026.114542","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114542","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6187504529953003}],"awards":[{"id":"https://openalex.org/G1541540232","display_name":null,"funder_award_id":"52304036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W3177192381","https://openalex.org/W3213997247","https://openalex.org/W4386759095","https://openalex.org/W4387492383","https://openalex.org/W4389113716","https://openalex.org/W4389265550","https://openalex.org/W4390415020","https://openalex.org/W4392251648","https://openalex.org/W4392397302","https://openalex.org/W4399591717","https://openalex.org/W4404318774","https://openalex.org/W4412391090","https://openalex.org/W4412473185"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"deep":[1],"learning-based":[2],"lithology":[3,52,167],"identification":[4,53],"methods":[5],"encounter":[6],"several":[7],"critical":[8],"bottlenecks:":[9],"they":[10],"fail":[11],"to":[12,30,66,104,146],"achieve":[13],"robust":[14,148,171],"model":[15],"transfer":[16],"in":[17,127,166],"source-free":[18,47],"scenarios,":[19],"underutilize":[20],"the":[21,62,94,128,132],"intrinsic":[22],"topological":[23],"information":[24],"of":[25,96,134],"data,":[26],"and":[27,44,74,87,116,154],"are":[28,119],"susceptible":[29],"noisy":[31],"pseudo-labels.":[32],"To":[33],"address":[34],"these":[35],"challenges,":[36],"a":[37,68,140,170],"novel":[38],"framework":[39,57,65],"termed":[40],"graph":[41,85,90],"structure":[42],"consistency":[43,122],"pseudo-label":[45],"guided":[46],"domain":[48,136],"adaptation":[49],"(GCPG-SFDA)":[50],"for":[51,71,173],"is":[54,81,144],"proposed.":[55],"This":[56],"integrates":[58],"graph-based":[59],"modeling":[60],"with":[61],"mean":[63],"teacher":[64],"build":[67],"multi-dimensional":[69],"system":[70],"feature":[72,129,149],"optimization":[73],"knowledge":[75],"transfer.":[76],"Specifically,":[77],"tabular":[78],"lithological":[79],"data":[80],"first":[82],"transformed":[83],"into":[84],"structures":[86],"processed":[88],"via":[89],"neural":[91],"network,":[92],"enabling":[93],"extraction":[95],"high-order":[97],"semantic":[98],"relationships":[99],"while":[100],"preserving":[101],"original":[102],"features":[103],"enhance":[105],"target-domain":[106],"representation.":[107],"Furthermore,":[108],"three":[109],"relationship":[110],"graphs":[111],"(teacher":[112],"graph,":[113,115],"student":[114],"teacher-student":[117,155],"graph)":[118],"designed.":[120],"Graph":[121],"constraints":[123],"optimize":[124],"sample":[125],"similarities":[126],"space,":[130],"improving":[131],"clarity":[133],"target":[135],"classification":[137],"boundaries.":[138],"Meanwhile,":[139],"self-supervised":[141],"exploration":[142],"mechanism":[143],"implemented":[145],"encourage":[147],"learning":[150],"through":[151],"structural":[152],"perturbations":[153],"output":[156],"synchronization.":[157],"Comprehensive":[158],"evaluations":[159],"indicate":[160],"that":[161],"GCPG-SFDA":[162],"achieves":[163],"superior":[164],"performance":[165],"identification,":[168],"offering":[169],"solution":[172],"data-constrained":[174],"geological":[175],"tasks.":[176]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-03-20T00:00:00"}