{"id":"https://openalex.org/W4404406642","doi":"https://doi.org/10.48550/arxiv.2411.08041","title":"GraphAide: Advanced Graph-Assisted Query and Reasoning System","display_name":"GraphAide: Advanced Graph-Assisted Query and Reasoning System","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404406642","doi":"https://doi.org/10.48550/arxiv.2411.08041"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2411.08041","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.08041","pdf_url":"https://arxiv.org/pdf/2411.08041","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.08041","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025824247","display_name":"Sumit Purohit","orcid":"https://orcid.org/0000-0002-6483-486X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Purohit, Sumit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112867598","display_name":"George Chin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chin, George","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111539577","display_name":"Patrick Mackey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mackey, Patrick S","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5017439447","display_name":"Joseph A. Cottam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cottam, Joseph A","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025824247"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9853000044822693,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9853000044822693,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9577000141143799,"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":0.9456999897956848,"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/computer-science","display_name":"Computer science","score":0.6737046241760254},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6156372427940369},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.44581368565559387},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3663240671157837},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.363182008266449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737046241760254},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6156372427940369},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.44581368565559387},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3663240671157837},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.363182008266449}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2411.08041","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.08041","pdf_url":"https://arxiv.org/pdf/2411.08041","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2411.08041","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.08041","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.08041","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.08041","pdf_url":"https://arxiv.org/pdf/2411.08041","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404406642.pdf","grobid_xml":"https://content.openalex.org/works/W4404406642.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Curating":[0],"knowledge":[1,123,141],"from":[2,144,174],"multiple":[3],"siloed":[4],"sources":[5,146],"that":[6,32],"contain":[7],"both":[8,159],"structured":[9],"and":[10,23,55,124,134,147,151,162,179,195],"unstructured":[11],"data":[12,30,48,53],"is":[13,65,88],"a":[14,114,140],"major":[15],"challenge":[16],"in":[17,28,108],"many":[18],"real-world":[19],"applications.":[20],"Pattern":[21],"matching":[22],"querying":[24],"represent":[25],"fundamental":[26],"tasks":[27],"modern":[29],"analytics":[31],"leverage":[33],"this":[34,127],"curated":[35],"knowledge.":[36],"The":[37,71,99],"development":[38,81,197],"of":[39,62,73,83,101,198],"such":[40,119],"applications":[41],"necessitates":[42],"overcoming":[43],"several":[44],"research":[45],"challenges,":[46],"including":[47],"extraction,":[49],"named":[50],"entity":[51],"recognition,":[52],"modeling,":[54],"designing":[56],"query":[57,133,150],"interfaces.":[58],"Moreover,":[59],"the":[60,80,154,160,180,191],"explainability":[61],"these":[63],"functionalities":[64],"critical":[66],"for":[67,92,193],"their":[68,204],"broader":[69],"adoption.":[70],"emergence":[72],"Large":[74],"Language":[75],"Models":[76],"(LLMs)":[77],"has":[78,104],"accelerated":[79],"lifecycle":[82],"new":[84],"capabilities.":[85],"Nonetheless,":[86],"there":[87],"an":[89,131,185],"ongoing":[90],"need":[91],"domain-specific":[93,122,167],"tools":[94],"tailored":[95],"to":[96,117,149,164,183],"user":[97],"activities.":[98],"creation":[100],"digital":[102,168,200],"assistants":[103,120],"gained":[105],"considerable":[106],"traction":[107],"recent":[109],"years,":[110],"with":[111],"LLMs":[112,163],"offering":[113],"promising":[115],"avenue":[116],"develop":[118,166],"utilizing":[121],"assumptions.":[125],"In":[126],"context,":[128],"we":[129],"introduce":[130],"advanced":[132],"reasoning":[135],"system,":[136],"GraphAide,":[137],"which":[138],"constructs":[139],"graph":[142],"(KG)":[143],"diverse":[145],"allows":[148],"reason":[152],"over":[153],"resulting":[155],"KG.":[156],"GraphAide":[157,189],"harnesses":[158],"KG":[161],"rapidly":[165],"assistants.":[169],"It":[170],"integrates":[171],"design":[172],"patterns":[173],"retrieval":[175],"augmented":[176],"generation":[177],"(RAG)":[178],"semantic":[181],"web":[182],"create":[184],"agentic":[186],"LLM":[187],"application.":[188],"underscores":[190],"potential":[192],"streamlined":[194],"efficient":[196],"specialized":[199],"assistants,":[201],"thereby":[202],"enhancing":[203],"applicability":[205],"across":[206],"various":[207],"domains.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}