{"id":"https://openalex.org/W7141435661","doi":"https://doi.org/10.48550/arxiv.2603.24925","title":"GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation","display_name":"GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141435661","doi":"https://doi.org/10.48550/arxiv.2603.24925"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24925","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24925","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":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.2603.24925","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013050968","display_name":"Ruizhong Miao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao, Ruizhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130781576","display_name":"Yuying Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130798456","display_name":"Rongguang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Rongguang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436390","display_name":"Chenyang Li","orcid":"https://orcid.org/0000-0002-5554-1889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chenyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102705589","display_name":"Tao Sheng","orcid":"https://orcid.org/0009-0004-5095-9110"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheng, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130805180","display_name":"Sujith Ravi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravi, Sujith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130792552","display_name":"Dan Roth","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roth, Dan","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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.4641999900341034,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.4641999900341034,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.17239999771118164,"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":0.08460000157356262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6531000137329102},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6381999850273132},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5353000164031982},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46540001034736633},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.32519999146461487},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.2937000095844269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072999715805054},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6531000137329102},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6381999850273132},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5353000164031982},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46540001034736633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3869999945163727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3815000057220459},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3546000123023987},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26429998874664307},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24925","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24925","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.24925","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24925","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":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":{"Retrieval-augmented":[0],"generation":[1],"(RAG)":[2],"systems":[3],"that":[4,67],"rely":[5,32],"on":[6,33,90],"semantic":[7,80],"search":[8],"often":[9],"fail":[10],"to":[11,75,98],"retrieve":[12],"the":[13,70,100],"complete":[14],"set":[15],"of":[16,73,119,143],"evidence":[17],"for":[18],"complex":[19],"queries,":[20],"particularly":[21],"when":[22],"information":[23],"is":[24,138],"distributed":[25],"across":[26,105],"multiple":[27,141],"sources.":[28],"Existing":[29],"approaches":[30],"either":[31],"iterative":[34],"agentic":[35],"retrieval,":[36,107,109],"which":[37,49],"can":[38],"be":[39],"inefficient,":[40],"or":[41],"maintain":[42],"additional":[43,126],"structures":[44],"such":[45],"as":[46],"knowledge":[47],"graphs,":[48],"introduce":[50],"storage":[51],"and":[52,64,93,110,129,145],"maintenance":[53],"overhead.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"propose":[59],"GraphER,":[60],"a":[61,84],"graph-based":[62,96],"enrichment":[63],"reranking":[65],"framework":[66,137],"(1)":[68],"leverages":[69],"organizational":[71],"structure":[72],"data":[74],"capture":[76],"proximity":[77],"relationships":[78],"beyond":[79],"similarity,":[81],"(2)":[82],"constructs":[83],"graph":[85,127],"at":[86],"query":[87],"time":[88],"based":[89],"these":[91],"proximities,":[92],"(3)":[94],"applies":[95],"ranking":[97],"surface":[99],"top":[101],"candidate":[102],"documents.":[103],"Experiments":[104],"table":[106],"multi-hop":[108],"long-document":[111],"retrieval":[112,120],"benchmarks":[113],"demonstrate":[114],"consistent":[115],"improvements":[116],"in":[117],"terms":[118],"completeness.":[121],"Additionally,":[122],"GraphER":[123],"requires":[124],"no":[125],"infrastructure":[128],"integrates":[130],"seamlessly":[131],"with":[132],"standard":[133],"vector":[134],"stores.":[135],"The":[136],"retriever-agnostic,":[139],"supports":[140],"forms":[142],"proximity,":[144],"introduces":[146],"minimal":[147],"query-time":[148],"latency.":[149]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-28T00:00:00"}
