{"id":"https://openalex.org/W4307807303","doi":"https://doi.org/10.3233/sw-222960","title":"MADLINK: Attentive multihop and entity descriptions for link prediction in knowledge graphs","display_name":"MADLINK: Attentive multihop and entity descriptions for link prediction in knowledge graphs","publication_year":2022,"publication_date":"2022-10-29","ids":{"openalex":"https://openalex.org/W4307807303","doi":"https://doi.org/10.3233/sw-222960"},"language":"en","primary_location":{"id":"doi:10.3233/sw-222960","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-222960","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw222960?id=semantic-web%2Fsw222960","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://content.iospress.com:443/download/semantic-web/sw222960?id=semantic-web%2Fsw222960","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003389081","display_name":"Russa Biswas","orcid":"https://orcid.org/0000-0002-7421-3389"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I158675288","display_name":"FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure","ror":"https://ror.org/0387prb75","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I158675288","https://openalex.org/I315704651"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Russa Biswas","raw_affiliation_strings":["FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure & Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure & Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I158675288","https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082238675","display_name":"Harald Sack","orcid":"https://orcid.org/0000-0001-7069-9804"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I158675288","display_name":"FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure","ror":"https://ror.org/0387prb75","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I158675288","https://openalex.org/I315704651"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Harald Sack","raw_affiliation_strings":["FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure & Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure & Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I158675288","https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009026163","display_name":"Mehwish Alam","orcid":"https://orcid.org/0000-0002-7867-6612"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I158675288","display_name":"FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure","ror":"https://ror.org/0387prb75","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I158675288","https://openalex.org/I315704651"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mehwish Alam","raw_affiliation_strings":["FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure & Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure & Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I158675288","https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003389081"],"corresponding_institution_ids":["https://openalex.org/I102335020","https://openalex.org/I158675288"],"apc_list":null,"apc_paid":null,"fwci":1.7931,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87367158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"83","last_page":"106"},"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9979000091552734,"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":0.8120822906494141},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6719710230827332},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6410428285598755},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5459266901016235},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5286484360694885},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.4905034899711609},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.48146548867225647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4706522524356842},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42702847719192505},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.423923522233963},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3786435127258301},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36553895473480225},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36465758085250854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3426009714603424},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33664578199386597},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.25921592116355896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120822906494141},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6719710230827332},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6410428285598755},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5459266901016235},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5286484360694885},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.4905034899711609},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.48146548867225647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4706522524356842},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42702847719192505},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.423923522233963},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3786435127258301},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36553895473480225},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36465758085250854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3426009714603424},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33664578199386597},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.25921592116355896},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/sw-222960","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-222960","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw222960?id=semantic-web%2Fsw222960","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3233/sw-222960","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-222960","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw222960?id=semantic-web%2Fsw222960","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307807303.pdf","grobid_xml":"https://content.openalex.org/works/W4307807303.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1426956448","https://openalex.org/W1894439495","https://openalex.org/W2022166150","https://openalex.org/W2157331557","https://openalex.org/W2250184916","https://openalex.org/W2250539671","https://openalex.org/W2402803841","https://openalex.org/W2440288152","https://openalex.org/W2509893387","https://openalex.org/W2523679382","https://openalex.org/W2526174222","https://openalex.org/W2558476738","https://openalex.org/W2560356046","https://openalex.org/W2604314403","https://openalex.org/W2774837955","https://openalex.org/W2885483808","https://openalex.org/W2888572441","https://openalex.org/W2899123495","https://openalex.org/W2914592219","https://openalex.org/W2963606508","https://openalex.org/W2964161331","https://openalex.org/W2964263523","https://openalex.org/W2970641574","https://openalex.org/W2980763157","https://openalex.org/W2997897037","https://openalex.org/W3015806086","https://openalex.org/W3089606371","https://openalex.org/W3092475443","https://openalex.org/W3094537309","https://openalex.org/W3099387504","https://openalex.org/W3102903061","https://openalex.org/W3103296573","https://openalex.org/W3117339789","https://openalex.org/W3120491054","https://openalex.org/W3154735894","https://openalex.org/W6600388300","https://openalex.org/W6600480908","https://openalex.org/W6600679772","https://openalex.org/W6601141708","https://openalex.org/W6610675410","https://openalex.org/W6727875242"],"related_works":["https://openalex.org/W2275988210","https://openalex.org/W2405038964","https://openalex.org/W2952732525","https://openalex.org/W3178985330","https://openalex.org/W3134928069","https://openalex.org/W969889303","https://openalex.org/W3085449847","https://openalex.org/W4310879833","https://openalex.org/W3187460820","https://openalex.org/W3086643812"],"abstract_inverted_index":{"Knowledge":[0],"Graphs":[1],"(KGs)":[2],"comprise":[3],"of":[4,10,46,74,85,93,102,113,130,151,172,183,192],"interlinked":[5],"information":[6,106,129,150],"in":[7,16,51,78,154],"the":[8,22,28,34,37,44,56,75,86,90,94,110,114,131,134,148,170,173,181,184,193,201],"form":[9],"entities":[11,38,95],"and":[12,20,96,133,196,210],"relations":[13,97],"between":[14,36],"them":[15,103],"a":[17,52,100,155,160],"particular":[18],"domain":[19],"provide":[21],"backbone":[23],"for":[24],"many":[25,63],"applications.":[26],"However,":[27],"KGs":[29],"are":[30,39],"often":[31],"incomplete":[32],"as":[33,107,109],"links":[35,50],"missing.":[40],"Link":[41],"Prediction":[42],"is":[43,72,144,177],"task":[45],"predicting":[47],"these":[48],"missing":[49],"KG":[53,69,79,132],"based":[54,122,140,166],"on":[55,65],"existing":[57,87],"links.":[58],"Recent":[59],"years":[60],"have":[61],"witnessed":[62],"studies":[64],"link":[66,123],"prediction":[67,124],"using":[68],"embeddings":[70],"which":[71],"one":[73],"mainstream":[76],"tasks":[77],"completion.":[80],"To":[81],"do":[82],"so,":[83],"most":[84,191],"methods":[88],"learn":[89,169],"latent":[91],"representation":[92,171,182],"whereas":[98,175],"only":[99],"few":[101],"consider":[104],"contextual":[105,149],"well":[108],"textual":[111,135],"descriptions":[112],"entities.":[115],"This":[116],"paper":[117],"introduces":[118],"an":[119,152],"attentive":[120],"encoder-decoder":[121,167],"approach":[125,189],"considering":[126],"both":[127],"structural":[128],"entity":[136,153,185],"descriptions.":[137,186],"Random":[138],"walk":[139],"path":[141],"selection":[142],"method":[143],"used":[145,178],"to":[146,168,179],"encapsulate":[147],"KG.":[156],"The":[157,187],"model":[158],"explores":[159],"bidirectional":[161],"Gated":[162],"Recurrent":[163],"Unit":[164],"(GRU)":[165],"paths":[174],"SBERT":[176],"generate":[180],"proposed":[188],"outperforms":[190],"state-of-the-art":[194],"models":[195],"achieves":[197],"comparable":[198],"results":[199],"with":[200,205],"rest":[202],"when":[203],"evaluated":[204],"FB15K,":[206],"FB15K-237,":[207],"WN18,":[208],"WN18RR,":[209],"YAGO3-10":[211],"datasets.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}