{"id":"https://openalex.org/W4416252120","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227236","title":"Teach Structure Features to Cooperate with Node Embeddings in Link Prediction","display_name":"Teach Structure Features to Cooperate with Node Embeddings in Link Prediction","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252120","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227236"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5107933047","display_name":"Ziwei Li","orcid":"https://orcid.org/0009-0006-4859-3345"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziwei Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078321786","display_name":"Feifei Dai","orcid":"https://orcid.org/0000-0003-1268-1715"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Dai","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080811169","display_name":"Yucan Zhou","orcid":"https://orcid.org/0000-0002-1316-9118"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucan Zhou","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040867646","display_name":"Haihui Fan","orcid":"https://orcid.org/0000-0002-4366-9121"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihui Fan","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024344221","display_name":"Xiaoyan Gu","orcid":"https://orcid.org/0000-0003-0673-0058"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Gu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101525319","display_name":"Dan Meng","orcid":"https://orcid.org/0000-0003-1980-9283"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Meng","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5107933047"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19512638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9725000262260437,"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":0.9725000262260437,"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":0.014399999752640724,"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":0.003800000064074993,"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/link","display_name":"Link (geometry)","score":0.7116000056266785},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6740000247955322},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5631999969482422},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.504800021648407},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4564000070095062},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42289999127388},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41760000586509705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243000268936157},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7116000056266785},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6740000247955322},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5631999969482422},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4564000070095062},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4366999864578247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42289999127388},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41760000586509705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40049999952316284},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3614000082015991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3337000012397766},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.295199990272522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":18,"referenced_works":["https://openalex.org/W1988115241","https://openalex.org/W2007444087","https://openalex.org/W2026417691","https://openalex.org/W2066636486","https://openalex.org/W2117831564","https://openalex.org/W2162630660","https://openalex.org/W2168190036","https://openalex.org/W2569335714","https://openalex.org/W2808409763","https://openalex.org/W2998008360","https://openalex.org/W3166619165","https://openalex.org/W4283373299","https://openalex.org/W4285191705","https://openalex.org/W4285606307","https://openalex.org/W4382318655","https://openalex.org/W4388654035","https://openalex.org/W4393160366","https://openalex.org/W4396757514"],"related_works":[],"abstract_inverted_index":{"Structure-enhanced":[0],"models":[1,95,126,179],"get":[2,32,162],"a":[3,44,79,114,136,146],"leading":[4,83],"performance":[5,85,183],"on":[6,47,105],"the":[7,55,59,70,75,99,106,121,130,142,158,163,173,182],"link":[8,177],"prediction":[9,81,178],"task":[10],"as":[11],"they":[12],"utilize":[13],"selected":[14],"structure":[15,62,109],"features":[16,63],"and":[17,82,124,152,180],"Graph":[18],"Neural":[19],"Network":[20],"(GNN)":[21],"based":[22,104],"node":[23,102,150,154],"embeddings":[24,103],"simultaneously.":[25],"However,":[26,111],"we":[27,91,134],"observe":[28],"that":[29,53,94,168],"when":[30,54],"graphs":[31],"sparser,":[33,58],"these":[34],"methods":[35],"perform":[36],"worse":[37],"than":[38],"classical":[39],"GNN-based":[40],"methods,":[41],"which":[42,140],"has":[43],"severe":[45],"impact":[46],"their":[48],"practical":[49],"use.":[50],"We":[51,66],"prove":[52],"graph":[56],"gets":[57,64],"distance":[60,107,122,159],"between":[61,108],"smaller.":[65],"induce":[67],"this":[68,89],"is":[69,113,191],"underlying":[71],"reason":[72],"for":[73],"hindering":[74],"model":[76],"from":[77],"giving":[78],"reasonable":[80],"to":[84,97,118,128,156,161],"degeneration.":[86],"To":[87],"overcome":[88],"problem,":[90],"first":[92],"claim":[93],"need":[96],"learn":[98],"importance":[100,131],"of":[101,116,149,175,189],"features.":[110],"there":[112],"lack":[115],"research":[117],"efficiently":[119],"estimate":[120,157],"information,":[123],"existing":[125],"fail":[127],"assign":[129],"properly.":[132],"Then":[133],"design":[135],"method":[137],"called":[138],"DIP,":[139],"satisfies":[141],"relation":[143],"requirement":[144],"with":[145],"weighted":[147],"term":[148],"embeddings,":[151],"use":[153],"degree":[155],"information":[160],"weight.":[164],"Experimental":[165],"results":[166],"show":[167],"DIP":[169,190],"can":[170],"significantly":[171],"improve":[172],"accuracy":[174],"structure-enhanced":[176],"solve":[181],"degeneration":[184],"problem":[185],"effectively.":[186],"The":[187],"code":[188],"publicly":[192],"available":[193],"at":[194],"https://github.com/lzwqbh/DIP.":[195]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
