{"id":"https://openalex.org/W3160381762","doi":"https://doi.org/10.1109/tpami.2021.3080635","title":"Line Graph Neural Networks for Link Prediction","display_name":"Line Graph Neural Networks for Link Prediction","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3160381762","doi":"https://doi.org/10.1109/tpami.2021.3080635","mag":"3160381762","pmid":"https://pubmed.ncbi.nlm.nih.gov/33989153"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3080635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3080635","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5081396646","display_name":"Lei Cai","orcid":"https://orcid.org/0000-0003-4811-5854"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Cai","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University Department of Computer Science and Engineering, 199068 College Station, Texas, United States, (e-mail: lei.cai@wsu.edu)","[Department of Computer Science and Engineering, Texas A&M University Department of Computer Science and Engineering, 199068 College Station, Texas, United States, (e-mail: lei.cai@wsu.edu)]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University Department of Computer Science and Engineering, 199068 College Station, Texas, United States, (e-mail: lei.cai@wsu.edu)","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, Texas A&M University Department of Computer Science and Engineering, 199068 College Station, Texas, United States, (e-mail: lei.cai@wsu.edu)]","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jundong Li","raw_affiliation_strings":["ECE, University of Virginia, 2358 Charlottesville, Virginia, United States, (e-mail: jundong@virginia.edu)","[ECE, University of Virginia, 2358 Charlottesville, Virginia, United States, (e-mail: jundong@virginia.edu)]"],"affiliations":[{"raw_affiliation_string":"ECE, University of Virginia, 2358 Charlottesville, Virginia, United States, (e-mail: jundong@virginia.edu)","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"[ECE, University of Virginia, 2358 Charlottesville, Virginia, United States, (e-mail: jundong@virginia.edu)]","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440188","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0003-3417-3703"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: jiewangx@ustc.edu.cn)","[Department of Electronic Engineering and Information Science, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: jiewangx@ustc.edu.cn)]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: jiewangx@ustc.edu.cn)","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"[Department of Electronic Engineering and Information Science, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: jiewangx@ustc.edu.cn)]","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052278550","display_name":"Shuiwang Ji","orcid":"https://orcid.org/0000-0002-4205-4563"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuiwang Ji","raw_affiliation_strings":["Department of Computer Science & Engineering, Texas A&M University College Station, 14736 College Station, Texas, United States, 77843 (e-mail: sji@tamu.edu)","Department of Computer Science & Engineering, Texas A&M University College Station, 14736 College Station, Texas United States 77843 (e-mail: sji@tamu.edu)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Texas A&M University College Station, 14736 College Station, Texas, United States, 77843 (e-mail: sji@tamu.edu)","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Texas A&M University College Station, 14736 College Station, Texas United States 77843 (e-mail: sji@tamu.edu)","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081396646"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":24.4532,"has_fulltext":false,"cited_by_count":231,"citation_normalized_percentile":{"value":0.99662155,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"44","issue":"9","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6498292684555054},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6058074831962585},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5064607858657837},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.470893919467926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4262637495994568},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42125606536865234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498292684555054},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6058074831962585},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5064607858657837},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.470893919467926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4262637495994568},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42125606536865234}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3080635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3080635","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:33989153","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33989153","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2958326977","display_name":null,"funder_award_id":"2028361","funder_id":"https://openalex.org/F4320337398","funder_display_name":"Division of Biological Infrastructure"}],"funders":[{"id":"https://openalex.org/F4320337398","display_name":"Division of Biological Infrastructure","ror":"https://ror.org/04qn9mx93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1529533208","https://openalex.org/W1888005072","https://openalex.org/W1979104937","https://openalex.org/W1985260677","https://openalex.org/W2007444087","https://openalex.org/W2008620264","https://openalex.org/W2014287896","https://openalex.org/W2026417691","https://openalex.org/W2036120890","https://openalex.org/W2054141820","https://openalex.org/W2093882311","https://openalex.org/W2111565546","https://openalex.org/W2125315567","https://openalex.org/W2154454189","https://openalex.org/W2154851992","https://openalex.org/W2157444450","https://openalex.org/W2158796406","https://openalex.org/W2542024830","https://openalex.org/W2604314403","https://openalex.org/W2742503211","https://openalex.org/W2768375068","https://openalex.org/W2788919350","https://openalex.org/W2809418595","https://openalex.org/W2907101105","https://openalex.org/W2911946608","https://openalex.org/W2950742983","https://openalex.org/W2962756421","https://openalex.org/W2963757395","https://openalex.org/W2963911286","https://openalex.org/W2964015378","https://openalex.org/W2998008360","https://openalex.org/W3104097132","https://openalex.org/W4232932184","https://openalex.org/W4235836742","https://openalex.org/W4291474301","https://openalex.org/W4322614756","https://openalex.org/W6676274861","https://openalex.org/W6683161245","https://openalex.org/W6684578312","https://openalex.org/W6713582119","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6748320467","https://openalex.org/W6748856961","https://openalex.org/W6753331806","https://openalex.org/W6756248755","https://openalex.org/W6771510844"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W4287804464","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W3015684221","https://openalex.org/W4287816705","https://openalex.org/W2362020254"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,19,40,44,47,81,108,128,136,174],"graph":[3,11,64,75,112,121,138,156],"link":[4,25,48,57,132],"prediction":[5,26,58,133],"task,":[6],"which":[7],"is":[8,60],"a":[9,56,63,98,119,124,144,155],"classic":[10],"analytical":[12],"problem":[13,59,147],"with":[14],"many":[15],"real-world":[16],"applications.":[17],"With":[18],"advances":[20],"of":[21,46,107,154],"deep":[22,82],"learning,":[23],"current":[24],"methods":[27],"commonly":[28],"compute":[29],"features":[30,41,72],"from":[31,164],"subgraphs":[32],"centered":[33],"at":[34],"two":[35,51],"neighboring":[36],"nodes":[37],"and":[38,101,182],"use":[39,106],"to":[42,62,69,96,123],"predict":[43],"label":[45],"between":[49],"these":[50],"nodes.":[52],"In":[53,67,114],"this":[54,91],"formalism,":[55],"converted":[61],"classification":[65,146,157],"task.":[66,158],"order":[68],"extract":[70],"fixed-size":[71],"for":[73],"classification,":[74],"pooling":[76],"layers":[77],"are":[78],"necessary":[79],"in":[80,111,118,127,135,148],"learning":[83],"model,":[84],"thereby":[85],"incurring":[86],"information":[87],"loss.":[88],"To":[89],"overcome":[90],"key":[92],"limitation,":[93],"we":[94],"propose":[95],"seek":[97],"radically":[99],"different":[100,165],"novel":[102],"path":[103],"by":[104],"making":[105],"line":[109,120,151],"graphs":[110],"theory.":[113],"particular,":[115],"each":[116],"node":[117,145],"corresponds":[122],"unique":[125],"edge":[126],"original":[129,137],"graph.":[130],"Therefore,":[131],"problems":[134],"can":[139],"be":[140],"equivalently":[141],"solved":[142],"as":[143],"its":[149],"corresponding":[150],"graph,":[152],"instead":[153],"Experimental":[159],"results":[160],"on":[161],"fourteen":[162],"datasets":[163],"applications":[166],"demonstrate":[167],"that":[168],"our":[169],"proposed":[170],"method":[171],"consistently":[172],"outperforms":[173],"state-of-the-art":[175],"methods,":[176],"while":[177],"it":[178],"has":[179],"fewer":[180],"parameters":[181],"high":[183],"training":[184],"efficiency.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":52},{"year":2024,"cited_by_count":75},{"year":2023,"cited_by_count":61},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":9}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
