{"id":"https://openalex.org/W4293262063","doi":"https://doi.org/10.1145/3487553.3524720","title":"RePS: Relation, Position and Structure aware Entity Alignment","display_name":"RePS: Relation, Position and Structure aware Entity Alignment","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4293262063","doi":"https://doi.org/10.1145/3487553.3524720"},"language":"en","primary_location":{"id":"doi:10.1145/3487553.3524720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487553.3524720","pdf_url":null,"source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065407737","display_name":"Anil Surisetty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anil Surisetty","raw_affiliation_strings":["Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045636971","display_name":"Deepak Chaurasiya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepak Chaurasiya","raw_affiliation_strings":["Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nitish Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nitish Kumar","raw_affiliation_strings":["Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661471","display_name":"Alok Kumar Singh","orcid":"https://orcid.org/0000-0002-2385-4813"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alok Singh","raw_affiliation_strings":["Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075372536","display_name":"Gaurav Dhama","orcid":"https://orcid.org/0000-0003-1092-5771"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaurav Dhama","raw_affiliation_strings":["Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053653138","display_name":"Aakarsh Malhotra","orcid":"https://orcid.org/0000-0001-8875-6571"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aakarsh Malhotra","raw_affiliation_strings":["Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059891327","display_name":"Ankur Arora","orcid":"https://orcid.org/0000-0003-4350-5773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ankur Arora","raw_affiliation_strings":["Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055954432","display_name":"Vikrant Dey","orcid":"https://orcid.org/0000-0003-3174-3811"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikrant Dey","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Technology Roorkee, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Technology Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1083","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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/T11719","display_name":"Data Quality and Management","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.772296667098999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627361178398132},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6356313228607178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3451930284500122},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19168797135353088},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.07503405213356018}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.772296667098999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627361178398132},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6356313228607178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3451930284500122},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19168797135353088},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.07503405213356018},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3487553.3524720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487553.3524720","pdf_url":null,"source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1597082186","https://openalex.org/W2063491776","https://openalex.org/W2157896838","https://openalex.org/W2295570185","https://openalex.org/W2741750617","https://openalex.org/W2767692092","https://openalex.org/W2808284704","https://openalex.org/W2890187992","https://openalex.org/W2950457956","https://openalex.org/W2962916648","https://openalex.org/W2970124416","https://openalex.org/W2970830096","https://openalex.org/W2997062749","https://openalex.org/W3001896264","https://openalex.org/W3012000912","https://openalex.org/W3102952580","https://openalex.org/W3122741928","https://openalex.org/W3146701396","https://openalex.org/W3154547779","https://openalex.org/W3156859417"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4234874385","https://openalex.org/W2390279801","https://openalex.org/W2323648130","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2157140558"],"abstract_inverted_index":{"Entity":[0,88],"Alignment":[1,89],"(EA)":[2],"is":[3,25],"the":[4,8,40,132,180,201],"task":[5],"of":[6,134,161,203],"recognizing":[7],"same":[9],"entity":[10],"present":[11],"in":[12,30,147],"different":[13],"knowledge":[14],"bases.":[15],"Recently,":[16],"embedding-based":[17],"EA":[18,95],"techniques":[19],"have":[20,64],"established":[21],"dominance":[22],"where":[23],"alignment":[24],"done":[26],"based":[27,51],"on":[28,52,190],"closeness":[29],"latent":[31],"space.":[32],"Graph":[33,120],"Neural":[34],"Networks":[35],"(GNN)":[36],"gained":[37],"popularity":[38],"as":[39,154],"embedding":[41],"module":[42],"due":[43],"to":[44,47,66,143,175,182,199],"its":[45],"ability":[46],"learn":[48,183],"entities\u2019":[49,75,145],"representation":[50,93],"their":[53,71],"local":[54],"sub-graph":[55],"structures.":[56],"Although":[57],"GNN":[58],"shows":[59],"promising":[60],"results,":[61],"limited":[62],"works":[63],"aimed":[65],"capture":[67,108,131],"relations":[68,109],"while":[69],"considering":[70],"global":[72,159],"importance":[73,127],"and":[74,85,101,110,194,206],"relative":[76],"position":[77,133,146,207],"during":[78,128],"EA.":[79],"This":[80],"paper":[81],"presents":[82],"Relation,":[83],"Position":[84,140],"Structure":[86],"aware":[87],"(RePS),":[90],"a":[91,115,148,158,166],"multi-faceted":[92],"learning-based":[94],"method":[96],"that":[97,124,172],"encodes":[98],"local,":[99],"global,":[100],"relation":[102,126],"information":[103],"for":[104,179],"aligning":[105],"entities.":[106,162],"To":[107,130],"neighborhood":[111],"structure,":[112],"we":[113,137,164],"propose":[114,138],"relation-based":[116],"aggregation":[117],"technique":[118],"\u2013":[119],"Relation":[121],"Network":[122],"(GRN)":[123],"incorporates":[125],"aggregation.":[129],"an":[135,196],"entity,":[136],"Relation-aware":[139],"Aggregator":[141],"(RPA)":[142],"capitalize":[144],"non-Euclidean":[149],"space":[150],"using":[151],"training":[152],"labels":[153],"anchors,":[155],"which":[156],"provides":[157],"view":[160],"Finally,":[163],"introduce":[165],"Knowledge":[167],"Aware":[168],"Negative":[169],"Sampling":[170],"(KANS)":[171],"generates":[173],"harder":[174],"distinguish":[176],"negative":[177],"samples":[178],"model":[181],"optimal":[184],"representations.":[185],"We":[186],"perform":[187],"exhaustive":[188],"experimentation":[189],"four":[191],"cross-lingual":[192],"datasets":[193],"report":[195],"ablation":[197],"study":[198],"demonstrate":[200],"effectiveness":[202],"GRN,":[204],"KANS,":[205],"encodings.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}