{"id":"https://openalex.org/W3213200005","doi":"https://doi.org/10.1109/access.2021.3126417","title":"CN-Motifs Perceptive Graph Neural Networks","display_name":"CN-Motifs Perceptive Graph Neural Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3213200005","doi":"https://doi.org/10.1109/access.2021.3126417","mag":"3213200005"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3126417","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126417","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2021.3126417","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026266768","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0001-7891-1144"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7891-1144","affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021918214","display_name":"Tian-Ming Bu","orcid":"https://orcid.org/0000-0002-4793-7023"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Ming Bu","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4793-7023","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2799,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65453771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"151285","last_page":"151293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/homophily","display_name":"Homophily","score":0.8554227352142334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7180442810058594},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5694867372512817},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5527370572090149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3649795651435852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1615334153175354},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13693061470985413}],"concepts":[{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.8554227352142334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7180442810058594},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5694867372512817},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5527370572090149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3649795651435852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1615334153175354},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13693061470985413}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3126417","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126417","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:270e379a7473422bb382ef7305a6eb05","is_oa":true,"landing_page_url":"https://doaj.org/article/270e379a7473422bb382ef7305a6eb05","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 151285-151293 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3126417","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126417","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6044698312","display_name":null,"funder_award_id":"2019YFB2102600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W67413104","https://openalex.org/W1028735754","https://openalex.org/W1522301498","https://openalex.org/W1556758605","https://openalex.org/W1956559956","https://openalex.org/W2107559689","https://openalex.org/W2153624566","https://openalex.org/W2153959628","https://openalex.org/W2325227998","https://openalex.org/W2519887557","https://openalex.org/W2624431344","https://openalex.org/W2745750801","https://openalex.org/W2788512147","https://openalex.org/W2798643801","https://openalex.org/W2804057010","https://openalex.org/W2916106175","https://openalex.org/W2942681667","https://openalex.org/W2952448092","https://openalex.org/W2962711740","https://openalex.org/W2963757395","https://openalex.org/W2963858333","https://openalex.org/W2963893572","https://openalex.org/W2964015378","https://openalex.org/W2964114465","https://openalex.org/W2964121744","https://openalex.org/W2964124573","https://openalex.org/W2964321699","https://openalex.org/W2983864285","https://openalex.org/W2995983896","https://openalex.org/W2997042706","https://openalex.org/W2997799485","https://openalex.org/W3005644236","https://openalex.org/W3030661718","https://openalex.org/W3034492151","https://openalex.org/W3042770487","https://openalex.org/W3080834109","https://openalex.org/W3090016979","https://openalex.org/W3099375322","https://openalex.org/W3100646853","https://openalex.org/W3114928288","https://openalex.org/W3120233338","https://openalex.org/W3128443161","https://openalex.org/W3133222630","https://openalex.org/W3143343102","https://openalex.org/W3160872503","https://openalex.org/W3173240144","https://openalex.org/W3204146977","https://openalex.org/W4225646704","https://openalex.org/W4287991183","https://openalex.org/W4288363255","https://openalex.org/W4288419263","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4320060387","https://openalex.org/W6602764823","https://openalex.org/W6631190155","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6748856961","https://openalex.org/W6752110883","https://openalex.org/W6754929296","https://openalex.org/W6760001035","https://openalex.org/W6760045743","https://openalex.org/W6771621015","https://openalex.org/W6771625333","https://openalex.org/W6778565831","https://openalex.org/W6779961489","https://openalex.org/W6783485119","https://openalex.org/W6784977419","https://openalex.org/W6789964533","https://openalex.org/W6791149046"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3185373886","https://openalex.org/W3010567961","https://openalex.org/W2588006872","https://openalex.org/W4385338594","https://openalex.org/W4200127153","https://openalex.org/W3175275009","https://openalex.org/W3119171992"],"abstract_inverted_index":{"Graph":[0,119],"neural":[1],"networks":[2],"(GNNs)":[3],"have":[4,60],"been":[5,61],"the":[6,85,97,104,144],"dominant":[7],"approaches":[8],"for":[9,66],"graph":[10,67,111],"representation":[11],"learning.":[12],"However,":[13],"most":[14],"GNNs":[15,29],"are":[16,76],"applied":[17],"to":[18,31,93,113],"homophily":[19,149],"graphs":[20],"and":[21,36,72,75,95,107,115,150],"perform":[22],"poorly":[23],"on":[24,147],"heterophily":[25,151],"graphs.":[26],"Meanwhile,":[27],"these":[28],"fail":[30],"directly":[32,49],"capture":[33],"long-range":[34],"dependencies":[35],"complex":[37],"interactions":[38],"between":[39],"1-hop":[40,105],"neighbors":[41,106],"when":[42],"generating":[43],"node":[44],"representations":[45],"by":[46,134],"iteratively":[47],"aggregating":[48],"connected":[50],"neighbors.":[51],"In":[52,80],"addition,":[53],"structural":[54,100,139],"patterns,":[55,140],"such":[56],"as":[57,63],"motifs":[58],"which":[59,89,126],"established":[62],"building":[64],"blocks":[65],"structure,":[68],"contain":[69],"rich":[70],"topological":[71],"semantical":[73],"information":[74],"worth":[77],"studying":[78],"further.":[79],"this":[81],"paper,":[82],"we":[83,90],"introduce":[84],"common-neighbors":[86],"based":[87],"motifs,":[88],"called":[91],"CN-motifs,":[92,114],"generalize":[94],"enrich":[96],"definition":[98],"of":[99,138],"patterns.":[101],"We":[102],"group":[103],"construct":[108],"a":[109,123],"high-order":[110],"according":[112],"propose":[116],"CN-motifs":[117],"Perceptive":[118],"Neural":[120],"Networks":[121],"(CNMPGNN),":[122],"novel":[124],"framework":[125],"can":[127],"effectively":[128],"resolve":[129],"problems":[130],"mentioned":[131],"above.":[132],"Notably,":[133],"making":[135],"full":[136],"use":[137],"our":[141],"model":[142],"achieves":[143],"state-of-the-art":[145],"results":[146],"several":[148],"datasets.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}