{"id":"https://openalex.org/W7162335859","doi":"https://doi.org/10.48550/arxiv.2605.23753","title":"SeedER: Seed-and-Expand Retrieval from Knowledge Graphs","display_name":"SeedER: Seed-and-Expand Retrieval from Knowledge Graphs","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162335859","doi":"https://doi.org/10.48550/arxiv.2605.23753"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23753","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23753","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.23753","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136971942","display_name":"Hamed Shirzad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shirzad, Hamed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136945002","display_name":"Frederik Wenkel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenkel, Frederik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064214996","display_name":"Dominique Beaini","orcid":"https://orcid.org/0000-0002-4613-9388"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beaini, Dominique","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087204274","display_name":"Danica J. Sutherland","orcid":"https://orcid.org/0000-0002-1525-3532"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sutherland, Danica J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012750505","display_name":"Emmanuel Noutahi","orcid":"https://orcid.org/0000-0001-5216-9703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noutahi, Emmanuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9430999755859375,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9430999755859375,"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":0.028999999165534973,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.005100000184029341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/seeder","display_name":"Seeder","score":0.7454000115394592},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6144000291824341},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.5098999738693237},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4717999994754791},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4668000042438507},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44620001316070557},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4307999908924103}],"concepts":[{"id":"https://openalex.org/C2779496343","wikidata":"https://www.wikidata.org/wiki/Q7445660","display_name":"Seeder","level":3,"score":0.7454000115394592},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6144000291824341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863000154495239},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5547999739646912},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4717999994754791},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44620001316070557},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34950000047683716},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C234837","wikidata":"https://www.wikidata.org/wiki/Q1420493","display_name":"Conceptual graph","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.2651999890804291}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23753","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23753","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.23753","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23753","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1],"(KGs)":[2],"offer":[3],"a":[4,49,64,82],"rich":[5],"representation":[6],"for":[7,41,156],"relational":[8],"knowledge,":[9],"but":[10],"their":[11],"irregular":[12],"structure":[13,56],"makes":[14],"retrieval":[15,50,116],"challenging:":[16],"ego-graph":[17],"expansion":[18,108],"grows":[19],"rapidly,":[20],"and":[21,73,121,130,147],"dense":[22,72,115,146],"embedding":[23],"methods":[24],"struggle":[25],"with":[26,87,140],"multi-hop":[27],"compositional":[28,118,128],"queries.":[29],"Existing":[30],"agent-based":[31],"graph":[32,119],"exploration":[33],"approaches,":[34],"while":[35,105],"expressive,":[36],"are":[37],"often":[38],"too":[39],"expensive":[40],"large-scale":[42],"retrieval.":[43],"We":[44,110],"introduce":[45],"SeedER":[46,61,125,136],"(Seed-and-Expand":[47],"Retrieval),":[48],"framework":[51],"that":[52],"explicitly":[53],"leverages":[54],"KG":[55],"through":[57],"iterative,":[58],"low-cost":[59],"expansion.":[60],"first":[62],"seeds":[63],"compact":[65,141],"set":[66,80],"of":[67,102,114,124],"core":[68],"nodes":[69,104],"using":[70],"lightweight":[71],"entity-based":[74],"retrieval,":[75],"then":[76],"selectively":[77],"expands":[78],"this":[79],"via":[81],"learned":[83],"graph-aware":[84],"policy":[85],"trained":[86],"reinforcement":[88],"learning.":[89],"This":[90],"design":[91],"decomposes":[92],"global":[93],"reasoning":[94,158],"into":[95],"reusable":[96],"local":[97],"decisions,":[98],"enabling":[99],"efficient":[100],"discovery":[101],"query-relevant":[103],"tightly":[106],"controlling":[107],"cost.":[109],"show":[111],"theoretical":[112],"limitations":[113],"on":[117],"queries,":[120],"establish":[122],"advantages":[123],"from":[126],"both":[127],"generalization":[129],"graph-constrained":[131],"submodular":[132],"optimization":[133],"perspectives.":[134],"Empirically,":[135],"substantially":[137],"improves":[138],"recall":[139],"candidate":[142],"sets":[143],"over":[144],"strong":[145],"graph-augmented":[148],"baselines,":[149],"making":[150],"it":[151],"an":[152],"effective":[153],"first-stage":[154],"retriever":[155],"knowledge-intensive":[157],"systems.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-26T00:00:00"}
