{"id":"https://openalex.org/W4224010214","doi":"https://doi.org/10.1145/3523150.3523170","title":"Recommendation Based on Graph Neural Network with Structural Identity","display_name":"Recommendation Based on Graph Neural Network with Structural Identity","publication_year":2022,"publication_date":"2022-01-15","ids":{"openalex":"https://openalex.org/W4224010214","doi":"https://doi.org/10.1145/3523150.3523170"},"language":"en","primary_location":{"id":"doi:10.1145/3523150.3523170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523150.3523170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 6th International Conference on Machine Learning and Soft Computing","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/A5020320699","display_name":"Wentao Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao Bai","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031765032","display_name":"Congying Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congying Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020320699"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3032,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5672149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.6572306156158447},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4963241219520569},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4433674216270447},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4300459027290344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37918171286582947},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3394533395767212},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06784933805465698},{"id":"https://openalex.org/keywords/aesthetics","display_name":"Aesthetics","score":0.06517326831817627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572306156158447},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4963241219520569},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4433674216270447},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4300459027290344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37918171286582947},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3394533395767212},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06784933805465698},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.06517326831817627}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523150.3523170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523150.3523170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 6th International Conference on Machine Learning and Soft Computing","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":17,"referenced_works":["https://openalex.org/W1886704267","https://openalex.org/W1978004985","https://openalex.org/W2154851992","https://openalex.org/W2605350416","https://openalex.org/W2607500032","https://openalex.org/W2807021761","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2962756421","https://openalex.org/W2963601856","https://openalex.org/W2971196067","https://openalex.org/W2997437965","https://openalex.org/W3045200674","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3104097132","https://openalex.org/W4255556848"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2502309190","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2086348228"],"abstract_inverted_index":{"With":[0],"the":[1,23,26,45,52,62,72,86,89,92,103,118,127,130,134,143,146,168],"development":[2],"of":[3,28,40,71,88,123,136,142,170],"graph":[4,53,128,148],"neural":[5],"networks":[6],"(GNN),":[7],"some":[8],"researchers":[9],"use":[10,17,39,141],"interaction":[11,147],"records":[12],"to":[13,19,36,50,95,101,138],"construct":[14],"graphs":[15],"and":[16,21,129,149,167],"GNN":[18,49],"model":[20,51],"capture":[22,61,81,116],"information":[24,63,132,144],"on":[25,157],"neighborhood":[27],"user":[29],"nodes":[30,90],"or":[31],"item":[32],"nodes,":[33,137],"so":[34],"as":[35,85],"make":[37,139,150],"good":[38],"cross-user":[41],"collaborative":[42],"signals":[43],"in":[44,91,126,145],"recommendation.":[46,153],"However,":[47],"using":[48],"structure":[54],"is":[55],"limited,":[56],"because":[57],"it":[58],"can":[59,79,115],"only":[60],"carried":[64],"by":[65,175],"neighbors":[66,135],"within":[67],"a":[68,107,151],"certain":[69],"range":[70],"central":[73],"node,":[74],"called":[75,112],"community":[76,131],"information,":[77],"but":[78],"hardly":[80],"structural":[82,119],"identity":[83,120],"such":[84],"roles":[87],"graph,":[93],"leading":[94],"sub-optimal":[96],"recommendation":[97],"performance.":[98],"In":[99],"order":[100],"solve":[102],"limitation,":[104],"we":[105],"design":[106],"Structural-Identity-aware":[108],"Graph":[109],"Neural":[110],"Network,":[111],"SIGNN,":[113],"which":[114],"both":[117],"that":[121,162],"independent":[122],"nodes\u2019":[124],"position":[125],"around":[133],"full":[140],"better":[152],"The":[154],"experimental":[155],"results":[156],"three":[158],"real-world":[159],"datasets":[160],"show":[161],"SIGNN":[163],"outperforms":[164],"existing":[165],"methods,":[166],"effects":[169],"each":[171],"component":[172],"are":[173],"verified":[174],"ablation":[176],"experiments.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
