{"id":"https://openalex.org/W2898569692","doi":"https://doi.org/10.1109/asonam.2018.8508500","title":"Attributed Network Representation Learning Approaches for Link Prediction","display_name":"Attributed Network Representation Learning Approaches for Link Prediction","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898569692","doi":"https://doi.org/10.1109/asonam.2018.8508500","mag":"2898569692"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5048789759","display_name":"Farzan Masrour","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Farzan Masrour","raw_affiliation_strings":["Department of Computer Science and Enginering, Michigan State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Enginering, Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071546444","display_name":"Pang\u2010Ning Tan","orcid":"https://orcid.org/0000-0003-3205-0339"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pang-Ning Tan","raw_affiliation_strings":["Department of Computer Science and Enginering, Michigan State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Enginering, Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015809057","display_name":"Abdol\u2010Hossein Esfahanian","orcid":"https://orcid.org/0000-0001-6018-5471"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdol-Hossein Esfahanian","raw_affiliation_strings":["Department of Computer Science and Enginering, Michigan State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Enginering, Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098564723","display_name":"Courtl VanDam","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Courtl VanDam","raw_affiliation_strings":["Department of Computer Science and Enginering, Michigan State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Enginering, Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048789759"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59754687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"560","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7679464221000671},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7275232672691345},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.716057300567627},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.647057831287384},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6445603370666504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5094197392463684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47549116611480713},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45867520570755005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4480769634246826},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38785314559936523},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14359933137893677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679464221000671},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7275232672691345},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.716057300567627},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.647057831287384},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6445603370666504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5094197392463684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47549116611480713},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45867520570755005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4480769634246826},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38785314559936523},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14359933137893677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1875112053","https://openalex.org/W2069153192","https://openalex.org/W2154851992","https://openalex.org/W2554952599","https://openalex.org/W2740934577","https://openalex.org/W2755092149","https://openalex.org/W2772021946","https://openalex.org/W2917431650","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2963460103","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W3098923689","https://openalex.org/W3104097132","https://openalex.org/W4238452917","https://openalex.org/W4294558607","https://openalex.org/W4322614756","https://openalex.org/W6631190155","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6738964360"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1588041347","https://openalex.org/W2905271011","https://openalex.org/W2793270624","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"Network":[0],"representation":[1,42,106],"learning":[2,43,107],"algorithms":[3,44,56],"seek":[4],"to":[5,25,62,100],"embed":[6],"the":[7,37,52,71,119,131,144],"nodes":[8,19,67,77,142],"of":[9,39,54,59,121],"a":[10,13,29],"network":[11,41,105,115],"into":[12],"lower-dimensional":[14],"feature":[15],"space":[16],"such":[17,123],"that":[18,20,68,78,85,127],"are":[21,69],"in":[22,57,70,143],"close":[23],"proximity":[24],"each":[26],"other":[27],"share":[28],"similar":[30],"representation.":[31],"In":[32],"this":[33,93,102],"paper,":[34],"we":[35,50,117],"investigate":[36],"effectiveness":[38],"using":[40],"for":[45,108],"link":[46,109,132],"prediction":[47,110],"problems.":[48,111],"Specifically,":[49],"demonstrate":[51,118],"limitations":[53],"existing":[55],"terms":[58],"their":[60],"ability":[61],"accurately":[63],"predict":[64,139],"links":[65,140],"between":[66,141],"same":[72,145],"or":[73],"different":[74,98,147],"communities":[75,148],"and":[76,95,138,146],"have":[79],"low":[80],"degrees.":[81],"We":[82],"also":[83],"show":[84],"incorporating":[86],"node":[87,135],"attribute":[88,136],"information":[89,103,137],"can":[90,128],"help":[91],"alleviate":[92],"problem":[94],"compare":[96],"three":[97],"approaches":[99],"integrate":[101],"with":[104,134],"Using":[112],"five":[113],"real-world":[114],"datasets,":[116],"efficacy":[120],"one":[122],"approach,":[124],"called":[125],"SPIN,":[126],"effectively":[129],"combine":[130],"structure":[133],"without":[149],"favoring":[150],"high":[151],"degree":[152],"nodes.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}