{"id":"https://openalex.org/W2145404290","doi":null,"title":"A kernel method for unsupervised structured network inference","display_name":"A kernel method for unsupervised structured network inference","publication_year":2009,"publication_date":"2009-04-15","ids":{"openalex":"https://openalex.org/W2145404290","mag":"2145404290"},"language":"en","primary_location":{"id":"pmh:oai:edoc.mdc-berlin.de:16545","doi":null,"is_oa":true,"landing_page_url":"http://edoc.mdc-berlin.de/16545/","pdf_url":"http://proceedings.mlr.press/v5/lippert09a.html","source":{"id":"https://openalex.org/S4306400224","display_name":"MDC Repository (Max-Delbrueck-Center for Molecular Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://proceedings.mlr.press/v5/lippert09a.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074204533","display_name":"Christoph Lippert","orcid":"https://orcid.org/0000-0001-6363-2556","observed_orcids":["https://orcid.org/0000-0001-6363-2556"]},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Lippert","raw_affiliation_strings":["Max Planck Institute for Biological Cybernetics, Max Planck Society"],"raw_orcid":"https://orcid.org/0000-0001-6363-2556","affiliations":[{"raw_affiliation_string":"Max Planck Institute for Biological Cybernetics, Max Planck Society","institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091002491","display_name":"Oliver Stegle","orcid":"https://orcid.org/0000-0002-8818-7193","observed_orcids":["https://orcid.org/0000-0002-8818-7193","https://orcid.org/0000-0003-4124-2375"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Oliver Stegle","raw_affiliation_strings":["University of Cambridge,"],"raw_orcid":"https://orcid.org/0000-0002-8818-7193","affiliations":[{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010820865","display_name":"Zoubin Ghahramani","orcid":"https://orcid.org/0000-0002-7464-6475","observed_orcids":["https://orcid.org/0000-0002-7464-6475"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zoubin Ghahramani","raw_affiliation_strings":["University of Cambridge,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074540538","display_name":"Karsten Michael Borgwardt","orcid":"https://orcid.org/0000-0001-7221-2393","observed_orcids":["https://orcid.org/0000-0001-7221-2393"]},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karsten Borgwardt","raw_affiliation_strings":["Max Planck Institute for Biological Cybernetics, Max Planck Society"],"raw_orcid":"https://orcid.org/0000-0001-7221-2393","affiliations":[{"raw_affiliation_string":"Max Planck Institute for Biological Cybernetics, Max Planck Society","institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8431,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.68085106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"368","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9101999998092651,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9101999998092651,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.023099999874830246,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.019600000232458115,"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/network-inference","display_name":"network inference","score":0.9879999756813049},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.8410000205039978},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.9729999899864197},{"id":"https://openalex.org/keywords/structured-networks","display_name":"structured networks","score":0.6140000224113464},{"id":"https://openalex.org/keywords/network-topology","display_name":"network topology","score":0.6489999890327454},{"id":"https://openalex.org/keywords/protein-protein-interaction-prediction","display_name":"protein-protein interaction prediction","score":0.6150000095367432},{"id":"https://openalex.org/keywords/social-networks","display_name":"social networks","score":0.9229999780654907},{"id":"https://openalex.org/keywords/edge-prediction","display_name":"edge prediction","score":0.48100000619888306},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"statistical inference","score":0.621999979019165}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7558952569961548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6732147336006165},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6559847593307495},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.603935718536377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5954371690750122},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5604140758514404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5430916547775269},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5250040292739868},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.464702308177948},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.41912198066711426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39541366696357727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20475777983665466},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09693169593811035},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07147827744483948},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"pmh:oai:edoc.mdc-berlin.de:16545","doi":null,"is_oa":true,"landing_page_url":"http://edoc.mdc-berlin.de/16545/","pdf_url":"http://proceedings.mlr.press/v5/lippert09a.html","source":{"id":"https://openalex.org/S4306400224","display_name":"MDC Repository (Max-Delbrueck-Center for Molecular Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.165.8893","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.8893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kyb.tuebingen.mpg.de/publications/attachments/AISTATS2009-Lippert_5663%5B0%5D.pdf","raw_type":"text"},{"id":"pmh:oai:edoc.mpg.de:460678","doi":null,"is_oa":false,"landing_page_url":"http://edoc.mpg.de/460678","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"JMLR, 368-375 (2009)","raw_type":"Conference-Paper"},{"id":"pmh:oai:edoc.mpg.de:461791","doi":null,"is_oa":false,"landing_page_url":"http://edoc.mpg.de/461791","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), 368-375 (2009)","raw_type":"Conference-Paper"},{"id":"pmh:oai:generic.eprints.org:324205","doi":null,"is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/324205/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:pure.mpg.de:item_1789408","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/11858/00-001M-0000-0013-C539-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"JMLR Workshop and Conference Proceedings","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:2145404290","doi":null,"is_oa":false,"landing_page_url":"http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/AISTATS2009-Lippert_5663[0].pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419146","display_name":"International Conference on Artificial Intelligence and Statistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Artificial Intelligence and Statistics","raw_type":null}],"best_oa_location":{"id":"pmh:oai:edoc.mdc-berlin.de:16545","doi":null,"is_oa":true,"landing_page_url":"http://edoc.mdc-berlin.de/16545/","pdf_url":"http://proceedings.mlr.press/v5/lippert09a.html","source":{"id":"https://openalex.org/S4306400224","display_name":"MDC Repository (Max-Delbrueck-Center for Molecular Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2145404290.pdf","grobid_xml":"https://content.openalex.org/works/W2145404290.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1585529040","https://openalex.org/W1638081485","https://openalex.org/W1774304772","https://openalex.org/W1992452843","https://openalex.org/W2008620264","https://openalex.org/W2030811942","https://openalex.org/W2061901927","https://openalex.org/W2078149659","https://openalex.org/W2099862356","https://openalex.org/W2101267652","https://openalex.org/W2130790725","https://openalex.org/W2145590522","https://openalex.org/W2149310258","https://openalex.org/W2157801062","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W7095527941","https://openalex.org/W2159944419","https://openalex.org/W2241755394","https://openalex.org/W1510786383","https://openalex.org/W2284843449","https://openalex.org/W2950501469","https://openalex.org/W2529121416","https://openalex.org/W2143455790","https://openalex.org/W2911150368","https://openalex.org/W1614821011"],"abstract_inverted_index":{"Network":[0],"inference":[1],"is":[2,100],"the":[3,48,90,94],"problem":[4,28],"of":[5,11,19,32,93,123],"inferring":[6],"edges":[7,46],"between":[8,17],"a":[9,30,65],"set":[10,31],"real-world":[12],"objects,":[13],"for":[14,77],"instance,":[15],"interactions":[16],"pairs":[18],"proteins":[20],"in":[21,47,113],"bioinformatics.":[22],"Current":[23],"kernel-based":[24],"approaches":[25],"to":[26],"this":[27],"share":[29],"common":[33,72],"features:":[34],"(i)":[35,82],"they":[36,63],"are":[37,50,59,74],"supervised":[38],"and":[39,55,80,98],"hence":[40,56],"require":[41],"labeled":[42],"training":[43],"data;":[44],"(ii)":[45,87],"network":[49,78,95],"treated":[51],"as":[52],"mutually":[53],"independent":[54],"topological":[57],"properties":[58],"largely":[60],"ignored;":[61],"(iii)":[62,99],"lack":[64],"statistical":[66,114],"interpretation.":[67],"We":[68,103],"argue":[69],"that":[70,88,105],"these":[71],"assumptions":[73],"often":[75],"undesirable":[76],"inference,":[79],"propose":[81],"an":[83],"unsupervised":[84],"kernel":[85],"method":[86,125],"takes":[89],"global":[91],"structure":[92],"into":[96],"account":[97],"statistically":[101],"motivated.":[102],"show":[104],"our":[106,124],"approach":[107],"can":[108],"explain":[109],"commonly":[110],"used":[111],"heuristics":[112],"terms.":[115],"In":[116],"experiments":[117],"on":[118],"social":[119],"networks,":[120],"different":[121],"variants":[122],"demonstrate":[126],"appealing":[127],"predictive":[128],"performance.":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2016-06-24T00:00:00"}