{"id":"https://openalex.org/W4416756285","doi":"https://doi.org/10.1109/access.2025.3630967","title":"GraphMind: Context-Aware Multi-Agent Systems With Graph Attention Autoencoder and Large Language Model Integration","display_name":"GraphMind: Context-Aware Multi-Agent Systems With Graph Attention Autoencoder and Large Language Model Integration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416756285","doi":"https://doi.org/10.1109/access.2025.3630967"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3630967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3630967","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3630967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110361440","display_name":"Dung Tuan Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dung Tuan Ho","raw_affiliation_strings":["Department of Computer Science, New Mexico State University, Las Cruces, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Mexico State University, Las Cruces, NM, USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043412244","display_name":"Than Le","orcid":"https://orcid.org/0000-0002-7551-0756"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Than Le","raw_affiliation_strings":["Institute of Engineering and Technology, Thu Dau Mot University, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-7551-0756","affiliations":[{"raw_affiliation_string":"Institute of Engineering and Technology, Thu Dau Mot University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tien B. N. Nguyen","orcid":"https://orcid.org/0009-0003-6657-0276"},"institutions":[{"id":"https://openalex.org/I4210115558","display_name":"Wisdom Health (United States)","ror":"https://ror.org/02538qk16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113968","https://openalex.org/I4210115558"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tien B. N. Nguyen","raw_affiliation_strings":["Wisdom Research, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0009-0003-6657-0276","affiliations":[{"raw_affiliation_string":"Wisdom Research, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210115558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027433720","display_name":"Van-Huy Pham","orcid":"https://orcid.org/0000-0001-9907-4066"},"institutions":[{"id":"https://openalex.org/I141445968","display_name":"Ton Duc Thang University","ror":"https://ror.org/01drq0835","country_code":"VN","type":"education","lineage":["https://openalex.org/I141445968"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Huy Pham","raw_affiliation_strings":["Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-9907-4066","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I141445968"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110361440"],"corresponding_institution_ids":["https://openalex.org/I10052268"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18858044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"199297","last_page":"199316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.3531000018119812,"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/T10028","display_name":"Topic Modeling","score":0.3531000018119812,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.16429999470710754,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12031","display_name":"Speech and dialogue systems","score":0.1151999980211258,"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/conversation","display_name":"Conversation","score":0.6974999904632568},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5210000276565552},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5074999928474426},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4876999855041504},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.47839999198913574},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.47279998660087585},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.453000009059906},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42730000615119934},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4271000027656555}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8632000088691711},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6974999904632568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5235000252723694},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5210000276565552},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5074999928474426},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4876999855041504},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.47279998660087585},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.453000009059906},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43130001425743103},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4271000027656555},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.39469999074935913},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3779999911785126},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C2781368080","wikidata":"https://www.wikidata.org/wiki/Q501688","display_name":"Context awareness","level":3,"score":0.34850001335144043},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.3264000117778778},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.302700012922287},{"id":"https://openalex.org/C2776285913","wikidata":"https://www.wikidata.org/wiki/Q5165183","display_name":"Context management","level":3,"score":0.3012000024318695},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2897999882698059},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C48859967","wikidata":"https://www.wikidata.org/wiki/Q6486712","display_name":"Language construct","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3630967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3630967","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cd4749cd4e0a48bd9590b1305bd5d7ab","is_oa":true,"landing_page_url":"https://doaj.org/article/cd4749cd4e0a48bd9590b1305bd5d7ab","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 199297-199316 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3630967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3630967","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"integrating":[3],"large":[4],"language":[5,96],"models":[6],"(LLMs)":[7],"with":[8],"multi-agent":[9,55,138],"systems":[10],"has":[11],"shown":[12],"promise":[13],"in":[14,150,162],"improving":[15],"the":[16,25,41,60,82,127,135,166],"quality":[17],"and":[18,52,80,98,125,144],"coherence":[19],"of":[20,43,63,70,137],"automated":[21],"conversations.":[22],"However,":[23],"managing":[24],"context":[26,50,84,109,148],"effectively":[27],"across":[28,85],"multiple":[29],"agents":[30,86],"remains":[31],"a":[32,71,106,142],"significant":[33],"challenge.":[34],"This":[35,131],"project":[36],"introduces":[37],"GraphMind,":[38],"which":[39],"explores":[40],"application":[42],"Graph":[44],"Attention":[45],"Autoencoder":[46],"(GAE)":[47],"to":[48,65,78,93,104,134,164,174],"enhance":[49],"management":[51,149],"control":[53],"within":[54],"conversational":[56,152],"systems.":[57],"By":[58],"leveraging":[59],"inherent":[61],"ability":[62],"GAE":[64,103],"focus":[66,170],"on":[67,171],"relevant":[68],"parts":[69],"graph-structured":[72],"input":[73],"dynamically,":[74],"our":[75],"approach":[76],"aims":[77],"track":[79],"update":[81],"conversation":[83,120],"efficiently.":[87],"The":[88],"proposed":[89],"system":[90],"integrates":[91],"LLMs":[92],"handle":[94],"natural":[95],"understanding":[97],"generation":[99],"tasks":[100],"while":[101],"utilizing":[102,172],"maintain":[105],"coherent":[107],"shared":[108],"among":[110],"agents.":[111],"Preliminary":[112],"results":[113],"demonstrate":[114],"that":[115],"this":[116,156],"hybrid":[117],"model":[118],"improves":[119],"flow,":[121],"reduces":[122],"context-switching":[123],"errors,":[124],"enhances":[126],"overall":[128],"user":[129],"experience.":[130],"work":[132,157],"contributes":[133],"field":[136],"communication":[139],"by":[140],"providing":[141],"scalable":[143],"efficient":[145],"framework":[146],"for":[147],"complex":[151],"environments.":[153],"To":[154],"extend":[155],"into":[158],"reinforcement":[159],"learning":[160],"(RL)":[161],"order":[163],"increasing":[165],"performance,":[167],"we":[168],"also":[169],"RL":[173],"optimize":[175],"agent":[176],"behaviors":[177],"or":[178],"improve":[179],"task-specific":[180],"efficiency":[181],"dynamically.":[182]},"counts_by_year":[],"updated_date":"2026-02-10T06:12:57.905455","created_date":"2025-11-10T00:00:00"}