{"id":"https://openalex.org/W3176996944","doi":"https://doi.org/10.1109/wiiat50758.2020.00053","title":"Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods","display_name":"Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3176996944","doi":"https://doi.org/10.1109/wiiat50758.2020.00053","mag":"3176996944"},"language":"en","primary_location":{"id":"doi:10.1109/wiiat50758.2020.00053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiiat50758.2020.00053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","raw_type":"proceedings-article"},"type":"article","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/A5040144256","display_name":"Max Berrendorf","orcid":"https://orcid.org/0000-0001-9724-4009"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Max Berrendorf","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007830019","display_name":"Evgeniy Faerman","orcid":"https://orcid.org/0000-0001-8841-5128"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Evgeniy Faerman","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079241060","display_name":"Laurent Vermue","orcid":"https://orcid.org/0000-0002-3403-7624"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Laurent Vermue","raw_affiliation_strings":["Technical University of Denmark, Kongens Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Kongens Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074808403","display_name":"Volker Tresp","orcid":"https://orcid.org/0000-0001-9428-3686"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]},{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Tresp","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany","Siemens AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Siemens AG, Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040144256"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84173555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.79726642370224},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.7359306812286377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5167633295059204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5034121870994568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4942069351673126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79726642370224},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7359306812286377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5167633295059204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5034121870994568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4942069351673126},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wiiat50758.2020.00053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiiat50758.2020.00053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","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":55,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W1529533208","https://openalex.org/W1533230146","https://openalex.org/W2033403400","https://openalex.org/W2086937365","https://openalex.org/W2118100588","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2184957013","https://openalex.org/W2222512263","https://openalex.org/W2250184916","https://openalex.org/W2283196293","https://openalex.org/W2295925036","https://openalex.org/W2551361256","https://openalex.org/W2563063592","https://openalex.org/W2572179331","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2794432940","https://openalex.org/W2808284704","https://openalex.org/W2890187992","https://openalex.org/W2903963001","https://openalex.org/W2913224127","https://openalex.org/W2920490794","https://openalex.org/W2944671994","https://openalex.org/W2947871958","https://openalex.org/W2949700412","https://openalex.org/W2953054275","https://openalex.org/W2953122515","https://openalex.org/W2962916648","https://openalex.org/W2964116313","https://openalex.org/W2964855489","https://openalex.org/W2966055354","https://openalex.org/W2990531836","https://openalex.org/W2996775350","https://openalex.org/W2997062749","https://openalex.org/W2998345580","https://openalex.org/W3001896264","https://openalex.org/W3003173133","https://openalex.org/W3016623647","https://openalex.org/W4244030505","https://openalex.org/W6608344535","https://openalex.org/W6631964550","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6686133869","https://openalex.org/W6695596964","https://openalex.org/W6731893219","https://openalex.org/W6740216407","https://openalex.org/W6762819970","https://openalex.org/W6762867004","https://openalex.org/W6770495096","https://openalex.org/W6771992956","https://openalex.org/W6773320229","https://openalex.org/W6776176587"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0,27,56],"this":[1,85],"work,":[2],"we":[3,58,75],"take":[4],"a":[5,87],"closer":[6],"look":[7],"at":[8],"the":[9,28,46,79],"evaluation":[10,50,80],"of":[11,14,41,48,93],"two":[12],"families":[13],"methods":[15],"for":[16],"enriching":[17],"information":[18],"from":[19],"knowledge":[20],"graphs:":[21],"Link":[22],"Prediction":[23],"and":[24,52,81,90],"Entity":[25],"Alignment.":[26],"current":[29],"experimental":[30],"setting,":[31],"multiple":[32],"different":[33,39,72],"scores":[34,63],"are":[35],"employed":[36],"to":[37,68,78],"assess":[38],"aspects":[40],"model":[42,94],"performance.":[43,95],"We":[44],"analyze":[45],"informativeness":[47],"these":[49],"measures":[51],"identify":[53],"several":[54],"shortcomings.":[55],"particular,":[57],"demonstrate":[59,82],"that":[60],"all":[61],"existing":[62],"can":[64],"hardly":[65],"be":[66],"used":[67],"compare":[69],"results":[70],"across":[71],"datasets.":[73],"Therefore,":[74],"propose":[76],"adjustments":[77],"empirically":[83],"how":[84],"supports":[86],"fair,":[88],"comparable,":[89],"interpretable":[91],"assessment":[92]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}