{"id":"https://openalex.org/W7147283168","doi":"https://doi.org/10.48550/arxiv.2603.27922","title":"GEAKG: Generative Executable Algorithm Knowledge Graphs","display_name":"GEAKG: Generative Executable Algorithm Knowledge Graphs","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7147283168","doi":"https://doi.org/10.48550/arxiv.2603.27922"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.27922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27922","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.2603.27922","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092217308","display_name":"Camilo Chac\u00f3n Sartori","orcid":"https://orcid.org/0000-0002-8543-9893"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sartori, Camilo Chac\u00f3n","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132722558","display_name":"Jos\u00e9 H. Garc\u00eda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garc\u00eda, Jos\u00e9 H.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130944946","display_name":"Andrei Voicu Tomut","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomut, Andrei Voicu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132610605","display_name":"Christian Blum","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Blum, Christian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5092217308"],"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":0.9018999934196472,"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":0.9018999934196472,"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":0.007000000216066837,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.006599999964237213,"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/executable","display_name":"Executable","score":0.7814000248908997},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.46389999985694885},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.44699999690055847},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.3723999857902527},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.37070000171661377},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3700000047683716},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.3343999981880188},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.33079999685287476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932000160217285},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7814000248908997},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5001999735832214},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.39399999380111694},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.31299999356269836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30880001187324524},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.30720001459121704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2973000109195709},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.27922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27922","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.2603.27922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27922","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":{"In":[0],"the":[1,11,122,125,183,196],"context":[2],"of":[3,13,71],"algorithms":[4],"for":[5,31,41,52,160],"problem":[6],"solving,":[7],"procedural":[8,54],"knowledge":[9,55,180,211],"--":[10,19,150,156],"know-how":[12],"algorithm":[14],"design":[15],"and":[16,27,84,94,109,129,176,191,207],"operator":[17],"composition":[18,82],"remains":[20],"implicit":[21],"in":[22],"code,":[23],"lost":[24],"between":[25],"runs,":[26],"must":[28],"be":[29,137,203],"re-engineered":[30],"each":[32],"new":[33],"domain.":[34],"Knowledge":[35,66],"graphs":[36],"(KGs)":[37],"have":[38],"proven":[39],"effective":[40],"organizing":[42],"declarative":[43],"knowledge,":[44],"yet":[45],"current":[46],"KG":[47],"paradigms":[48],"provide":[49,157],"limited":[50],"support":[51,198],"representing":[53],"as":[56,209],"executable,":[57],"learnable":[58],"graph":[59],"structures.":[60],"We":[61],"introduce":[62],"\\textit{Generative":[63],"Executable":[64],"Algorithm":[65],"Graphs}":[67],"(GEAKG),":[68],"a":[69,99,143],"class":[70],"KGs":[72],"whose":[73,78,85],"nodes":[74],"store":[75],"executable":[76,210],"operators,":[77],"edges":[79],"encode":[80],"learned":[81,181],"patterns,":[83],"traversal":[86],"generates":[87],"solutions.":[88],"A":[89],"GEAKG":[90],"is":[91,106,119],"\\emph{generative}":[92],"(topology":[93],"operators":[95],"are":[96],"synthesized":[97],"by":[98,142],"Large":[100],"Language":[101],"Model),":[102],"\\emph{executable}":[103],"(every":[104],"node":[105],"runnable":[107],"code),":[108],"\\emph{transferable}":[110],"(learned":[111],"patterns":[112],"generalize":[113],"zero-shot":[114,188],"across":[115,139,167],"domains).":[116],"The":[117],"framework":[118,154,162],"domain-agnostic":[120],"at":[121],"engine":[123,135],"level:":[124],"same":[126],"three-layer":[127],"architecture":[128],"Ant":[130],"Colony":[131],"Optimization":[132],"(ACO)-based":[133],"learning":[134],"can":[136,202],"instantiated":[138],"domains,":[140],"parameterized":[141],"pluggable":[144],"ontology":[145],"(\\texttt{RoleSchema}).":[146],"Two":[147],"case":[148],"studies":[149],"sharing":[151],"no":[152],"domain-specific":[153],"code":[155],"concrete":[158],"evidence":[159],"this":[161],"hypothesis:":[163],"(1)~Neural":[164],"Architecture":[165],"Search":[166],"70":[168],"cross-dataset":[169],"transfer":[170],"pairs":[171],"on":[172,182],"two":[173],"tabular":[174],"benchmarks,":[175],"(2)~Combinatorial":[177],"Optimization,":[178],"where":[179],"Traveling":[184],"Salesman":[185],"Problem":[186],"transfers":[187],"to":[189],"scheduling":[190],"assignment":[192],"domains.":[193],"Taken":[194],"together,":[195],"results":[197],"that":[199],"algorithmic":[200],"expertise":[201],"explicitly":[204],"represented,":[205],"learned,":[206],"transferred":[208],"graphs.":[212]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
