{"id":"https://openalex.org/W4410357466","doi":"https://doi.org/10.1145/3672608.3707885","title":"Features Leverage in Graph Models for Mineral Prospectivity Mapping","display_name":"Features Leverage in Graph Models for Mineral Prospectivity Mapping","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410357466","doi":"https://doi.org/10.1145/3672608.3707885"},"language":"en","primary_location":{"id":"doi:10.1145/3672608.3707885","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672608.3707885","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707885","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707885","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Thi Hai Yen Vu","orcid":"https://orcid.org/0009-0008-4365-8175"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4210158893","display_name":"Bureau de Recherches G\u00e9ologiques et Mini\u00e8res","ror":"https://ror.org/05hnb7x64","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210158893"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thi Hai Yen Vu","raw_affiliation_strings":["BRGM, F-45060 Orl\u00e9ans, Orl\u00e9ans, France","LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France"],"affiliations":[{"raw_affiliation_string":"BRGM, F-45060 Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I4210158893"]},{"raw_affiliation_string":"LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017120022","display_name":"Thi-Bich-Hanh Dao","orcid":"https://orcid.org/0000-0002-2740-6954"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thi Bich Hanh Dao","raw_affiliation_strings":["LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France"],"affiliations":[{"raw_affiliation_string":"LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101471226","display_name":"Nhu-Van Nguyen","orcid":"https://orcid.org/0000-0003-2271-6918"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Nguyen","raw_affiliation_strings":["LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France"],"affiliations":[{"raw_affiliation_string":"LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050516915","display_name":"Christel Vrain","orcid":"https://orcid.org/0000-0003-3307-0753"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christel Vrain","raw_affiliation_strings":["LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France"],"affiliations":[{"raw_affiliation_string":"LIFO UR 4022, Universit\u00e9 d'Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020467713","display_name":"Hugo Breuillard","orcid":"https://orcid.org/0000-0003-4187-7303"},"institutions":[{"id":"https://openalex.org/I4210158893","display_name":"Bureau de Recherches G\u00e9ologiques et Mini\u00e8res","ror":"https://ror.org/05hnb7x64","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210158893"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hugo Breuillard","raw_affiliation_strings":["BRGM, F-45060 Orl\u00e9ans, Orl\u00e9ans, France"],"affiliations":[{"raw_affiliation_string":"BRGM, F-45060 Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I4210158893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210158893"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04655772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"597","last_page":"604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":1.0,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prospectivity-mapping","display_name":"Prospectivity mapping","score":0.9467761516571045},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7309355735778809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5111640095710754},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44654539227485657},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.29557549953460693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2254810631275177},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15367835760116577},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.07510718703269958}],"concepts":[{"id":"https://openalex.org/C55358776","wikidata":"https://www.wikidata.org/wiki/Q7250848","display_name":"Prospectivity mapping","level":3,"score":0.9467761516571045},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7309355735778809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5111640095710754},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44654539227485657},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29557549953460693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2254810631275177},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15367835760116577},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.07510718703269958},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3672608.3707885","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672608.3707885","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707885","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04967663v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04967663","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Symposium On Applied Computing (SAC), Mar 2025, Sicily, Italy. pp.597-604, ⟨10.1145/3672608.3707885⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1145/3672608.3707885","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672608.3707885","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707885","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6499999761581421,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2636189568","display_name":null,"funder_award_id":"ANR-20-THIA-0017","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G899150073","display_name":null,"funder_award_id":"20-THIA-0017","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410357466.pdf","grobid_xml":"https://content.openalex.org/works/W4410357466.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2035642982","https://openalex.org/W2065128525","https://openalex.org/W2079679029","https://openalex.org/W2110121831","https://openalex.org/W2295248340","https://openalex.org/W2519887557","https://openalex.org/W2546524090","https://openalex.org/W2581834115","https://openalex.org/W2766774050","https://openalex.org/W2895557845","https://openalex.org/W2896335697","https://openalex.org/W2954328919","https://openalex.org/W2964015378","https://openalex.org/W3025212340","https://openalex.org/W3086825826","https://openalex.org/W3179008104","https://openalex.org/W3211115215","https://openalex.org/W3214981589","https://openalex.org/W4221144753","https://openalex.org/W4224073229","https://openalex.org/W4283754229","https://openalex.org/W4285676387","https://openalex.org/W4292832893","https://openalex.org/W4297229775","https://openalex.org/W4311297371","https://openalex.org/W4362663792","https://openalex.org/W4380742179","https://openalex.org/W4382541642","https://openalex.org/W4385985189","https://openalex.org/W4386049746","https://openalex.org/W4394019403","https://openalex.org/W6668402497"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2041413007","https://openalex.org/W4234322959","https://openalex.org/W1134334803","https://openalex.org/W4285205761","https://openalex.org/W1573373265","https://openalex.org/W2726768740","https://openalex.org/W2072504176"],"abstract_inverted_index":{"Mineral":[0],"Prospectivity":[1],"Mapping":[2],"(MPM),":[3],"the":[4,42,54,71,85],"process":[5],"of":[6,44,56,73,100],"identifying":[7],"areas":[8],"with":[9,53,118],"high":[10],"potential":[11],"for":[12],"mineral":[13,45],"deposits,":[14],"can":[15,135],"be":[16,136],"divided":[17],"into":[18,146],"two":[19],"main":[20],"categories:":[21],"knowledge-driven":[22],"and":[23,79,134],"data-driven.":[24],"Knowledge-driven":[25],"techniques":[26,36],"rely":[27],"on":[28,31,48,94],"expert":[29],"opinion":[30],"geological":[32,50,102],"data,":[33],"while":[34],"data-driven":[35,61,147],"employ":[37],"ML":[38],"models":[39,148],"to":[40,142],"predict":[41],"probabilities":[43],"occurrences":[46],"based":[47,92],"known":[49],"datasets.":[51],"Recently,":[52],"advancement":[55],"machine":[57],"learning":[58],"(ML)":[59],"methods,":[60],"MPM":[62],"has":[63],"gained":[64],"significant":[65],"improvements.":[66],"Notably,":[67],"graph-based":[68],"approaches":[69,76],"overcome":[70],"disadvantages":[72],"previously":[74],"used":[75],"(pixel-based,":[77],"image-based)":[78],"have":[80],"demonstrated":[81],"better":[82],"performances.":[83],"However,":[84],"graph":[86,111],"construction":[87,112],"in":[88,149],"current":[89],"methods":[90],"is":[91],"solely":[93],"spatial":[95,116],"distances":[96,117,120],"between":[97],"pixels,":[98],"regardless":[99],"their":[101],"attributes.":[103],"In":[104],"this":[105,129],"paper,":[106],"we":[107],"introduce":[108],"a":[109,139],"novel":[110],"approach":[113,141],"that":[114,128],"combines":[115],"other":[119],"obtained":[121],"from":[122],"feature":[123,144],"mining.":[124],"Our":[125],"experiments":[126],"show":[127],"combination":[130],"outperforms":[131],"existing":[132],"graphs,":[133],"considered":[137],"as":[138],"promising":[140],"integrate":[143],"mining":[145],"MPM.":[150]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}