{"id":"https://openalex.org/W7137889852","doi":"https://doi.org/10.48550/arxiv.2603.15371","title":"Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning","display_name":"Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7137889852","doi":"https://doi.org/10.48550/arxiv.2603.15371"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15371","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15371","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2603.15371","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026377137","display_name":"Guangfu Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Guangfu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129672217","display_name":"Yuming Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Yuming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129699481","display_name":"Xianzhe Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Xianzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129744574","display_name":"Shan Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Shan","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2978000044822693,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2978000044822693,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.24940000474452972,"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/T10028","display_name":"Topic Modeling","score":0.15719999372959137,"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/bottleneck","display_name":"Bottleneck","score":0.6625000238418579},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49570000171661377},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.40070000290870667},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.36320000886917114},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.3375999927520752},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.3310000002384186},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.3199999928474426},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.3118000030517578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718999981880188},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6625000238418579},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4991999864578247},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.40070000290870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39570000767707825},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.36320000886917114},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C67820243","wikidata":"https://www.wikidata.org/wiki/Q179164","display_name":"Unitary state","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15371","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15371","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2603.15371","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15371","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0,24],"Language":[1],"Models":[2,26],"(LLMs)":[3],"have":[4],"demonstrated":[5],"remarkable":[6],"capabilities":[7],"across":[8,133],"a":[9,20,85,94,106],"wide":[10],"range":[11],"of":[12,65,121,131,158],"language":[13],"tasks,":[14,50],"yet":[15],"complex":[16,49],"multi-step":[17],"reasoning":[18,55,142,171],"remains":[19],"fundamental":[21],"challenge.":[22],"While":[23],"Reasoning":[25],"(LRMs)":[27],"equipped":[28],"with":[29],"extended":[30],"chain-of-thought":[31],"mechanisms":[32],"demonstrate":[33,137],"improved":[34],"performance":[35,143],"over":[36],"standard":[37,146],"LLMs,":[38],"both":[39,145],"model":[40],"types":[41],"still":[42],"suffer":[43],"from":[44],"accuracy":[45],"collapse":[46],"on":[47,125],"sufficiently":[48],"suggesting":[51],"that":[52,138,161],"scaling":[53],"model-level":[54,170],"alone":[56],"is":[57],"insufficient.":[58],"Inspired":[59],"by":[60],"the":[61,110,118],"global":[62,107],"workspace":[63],"theory":[64],"human":[66],"cognition,":[67],"we":[68],"propose":[69],"Brain-Inspired":[70],"Graph":[71],"Multi-Agent":[72],"Systems":[73],"(BIGMAS),":[74],"in":[75,84],"which":[76],"specialized":[77],"LLM":[78],"agents":[79],"are":[80],"organized":[81],"as":[82],"nodes":[83],"dynamically":[86],"constructed":[87],"directed":[88],"graph":[89],"and":[90,129,148,156],"coordinate":[91],"exclusively":[92],"through":[93],"centralized":[95],"shared":[96,112],"workspace.":[97],"A":[98],"problem-adaptive":[99],"GraphDesigner":[100],"constructs":[101],"task-specific":[102],"agent":[103],"topologies,":[104],"while":[105],"Orchestrator":[108],"leverages":[109],"complete":[111],"state":[113],"for":[114,144],"routing":[115],"decisions,":[116],"overcoming":[117],"local-view":[119],"bottleneck":[120],"reactive":[122],"approaches.":[123],"Experiments":[124],"Game24,":[126],"Six":[127],"Fives,":[128],"Tower":[130],"London":[132],"six":[134],"frontier":[135],"LLMs":[136,147],"BIGMAS":[139],"consistently":[140],"improves":[141],"LRMs,":[149],"outperforming":[150],"existing":[151],"multi-agent":[152,162],"baselines":[153],"including":[154],"ReAct":[155],"Tree":[157],"Thoughts,":[159],"showing":[160],"architectural":[163],"design":[164],"provides":[165],"complementary":[166],"gains":[167],"orthogonal":[168],"to":[169],"enhancements.":[172]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-18T00:00:00"}