{"id":"https://openalex.org/W4381198929","doi":"https://doi.org/10.1109/tnnls.2023.3281716","title":"Motif Graph Neural Network","display_name":"Motif Graph Neural Network","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4381198929","doi":"https://doi.org/10.1109/tnnls.2023.3281716","pmid":"https://pubmed.ncbi.nlm.nih.gov/37335782"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3281716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3281716","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","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/A5101582303","display_name":"Chen XueXin","orcid":"https://orcid.org/0000-0001-9292-7919"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexin Chen","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9292-7919","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076948208","display_name":"Ruichu Cai","orcid":"https://orcid.org/0000-0001-8972-167X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichu Cai","raw_affiliation_strings":["School of Computer Science, Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, Guangdong University of Technology, Guangzhou, China","Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, School of Computer Science, Guangdong University of Technology, Guangzhou, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8972-167X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055103025","display_name":"Yuan Fang","orcid":"https://orcid.org/0000-0002-4265-5289"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuan Fang","raw_affiliation_strings":["School of Computing and Information Systems, Singapore Management University, Bras Basah, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4265-5289","affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems, Singapore Management University, Bras Basah, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340964","display_name":"Min Wu","orcid":"https://orcid.org/0000-0003-0977-3600"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR, Fusionopolis, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0977-3600","affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR, Fusionopolis, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406497","display_name":"Zijian Li","orcid":"https://orcid.org/0000-0002-3964-3789"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Li","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3964-3789","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101432634","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0002-9731-1504"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":["College of Science, Shantou University, Shantou, China"],"raw_orcid":"https://orcid.org/0000-0002-9731-1504","affiliations":[{"raw_affiliation_string":"College of Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1243,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94847295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"35","issue":"10","first_page":"14833","last_page":"14847"},"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":0.9842000007629395,"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":0.9786999821662903,"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/motif","display_name":"Motif (music)","score":0.6534854769706726},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6507085561752319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6414111852645874},{"id":"https://openalex.org/keywords/injective-function","display_name":"Injective function","score":0.4939294457435608},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46694982051849365},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4500933587551117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4180564284324646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15112528204917908},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09790760278701782}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.6534854769706726},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6507085561752319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6414111852645874},{"id":"https://openalex.org/C128107574","wikidata":"https://www.wikidata.org/wiki/Q182003","display_name":"Injective function","level":2,"score":0.4939294457435608},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46694982051849365},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4500933587551117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4180564284324646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15112528204917908},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09790760278701782},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3281716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3281716","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37335782","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37335782","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2232030736","display_name":null,"funder_award_id":"2021ZD0111501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2503486912","display_name":null,"funder_award_id":"61976052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4471167475","display_name":"\u975e\u7a33\u6001\u793e\u4ea4\u7f51\u7edc\u7528\u6237\u884c\u4e3a\u7684\u56e0\u679c\u673a\u5236\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61876043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8007181506","display_name":null,"funder_award_id":"62122022","funder_id":"https://openalex.org/F4320333688","funder_display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333688","display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1492230849","https://openalex.org/W1904365287","https://openalex.org/W1911406724","https://openalex.org/W2019543926","https://openalex.org/W2090891622","https://openalex.org/W2099438806","https://openalex.org/W2109469951","https://openalex.org/W2135957668","https://openalex.org/W2143576873","https://openalex.org/W2153624566","https://openalex.org/W2153959628","https://openalex.org/W2154053567","https://openalex.org/W2154851992","https://openalex.org/W2167143405","https://openalex.org/W2387462954","https://openalex.org/W2470861207","https://openalex.org/W2737925311","https://openalex.org/W2770717124","https://openalex.org/W2787879486","https://openalex.org/W2788919350","https://openalex.org/W2804381853","https://openalex.org/W2805516822","https://openalex.org/W2899886700","https://openalex.org/W2903533144","https://openalex.org/W2907101105","https://openalex.org/W2907492528","https://openalex.org/W2914721378","https://openalex.org/W2948035163","https://openalex.org/W2948598502","https://openalex.org/W2962756421","https://openalex.org/W2962810718","https://openalex.org/W2963235422","https://openalex.org/W2964198126","https://openalex.org/W2972627426","https://openalex.org/W2983339844","https://openalex.org/W2983864285","https://openalex.org/W2990703359","https://openalex.org/W2995509183","https://openalex.org/W3008903937","https://openalex.org/W3045143113","https://openalex.org/W3045164669","https://openalex.org/W3086745871","https://openalex.org/W3094504436","https://openalex.org/W3101073376","https://openalex.org/W3104097132","https://openalex.org/W3106039696","https://openalex.org/W3108155943","https://openalex.org/W3127813352","https://openalex.org/W3135378849","https://openalex.org/W3155243181","https://openalex.org/W3165924303","https://openalex.org/W3177385106","https://openalex.org/W3195541832","https://openalex.org/W3211236454","https://openalex.org/W4210841708","https://openalex.org/W4220825043","https://openalex.org/W4226102968","https://openalex.org/W4254238137","https://openalex.org/W4280499229","https://openalex.org/W4280537123","https://openalex.org/W4280590775","https://openalex.org/W4283395262","https://openalex.org/W4297733535","https://openalex.org/W4306830375","https://openalex.org/W4322614756","https://openalex.org/W6628717828","https://openalex.org/W6640036494","https://openalex.org/W6685265622","https://openalex.org/W6690815549","https://openalex.org/W6699364125","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6741450815","https://openalex.org/W6745537798","https://openalex.org/W6746536644","https://openalex.org/W6748799445","https://openalex.org/W6751796012","https://openalex.org/W6753331806","https://openalex.org/W6754929296","https://openalex.org/W6755821303","https://openalex.org/W6761659004","https://openalex.org/W6762453230","https://openalex.org/W6766779327","https://openalex.org/W6766892243","https://openalex.org/W6784460448","https://openalex.org/W6784694379","https://openalex.org/W6789483447","https://openalex.org/W6838331784","https://openalex.org/W7025035218"],"related_works":["https://openalex.org/W2655188380","https://openalex.org/W1492157759","https://openalex.org/W2963000151","https://openalex.org/W2066767025","https://openalex.org/W4394639575","https://openalex.org/W2742781961","https://openalex.org/W1656421143","https://openalex.org/W2239937566","https://openalex.org/W2962729062","https://openalex.org/W2886974128"],"abstract_inverted_index":{"Graphs":[0],"can":[1,16],"model":[2,45],"complicated":[3],"interactions":[4],"between":[5],"entities,":[6],"which":[7,26,154],"naturally":[8],"emerge":[9],"in":[10,25,46,53,63],"many":[11],"important":[12],"applications.":[13],"These":[14],"applications":[15],"often":[17,92],"be":[18],"cast":[19],"into":[20],"standard":[21,51],"graph":[22,34,47,66,239],"learning":[23],"tasks,":[24],"a":[27,111,134,219],"crucial":[28],"step":[29],"is":[30,147],"to":[31,70,80,114,141,166,186,196,202],"learn":[32],"low-dimensional":[33],"representations.":[35],"Graph":[36],"neural":[37],"networks":[38],"(GNNs)":[39],"are":[40],"currently":[41],"the":[42,54,87,103,156,163,172,188,198,213,235],"most":[43],"popular":[44],"embedding":[48],"approaches.":[49],"However,":[50,86],"GNNs":[52,90,217],"neighborhood":[55],"aggregation":[56],"paradigm":[57],"suffer":[58,93],"from":[59,94,181],"limited":[60],"discriminative":[61,96,189],"power":[62,97,215],"distinguishing":[64],"high-order":[65,75,99,117],"structures":[67],"as":[68],"opposed":[69],"low-order":[71],"structures.":[72,100],"To":[73,101],"capture":[74,116],"structures,":[76,118],"researchers":[77],"have":[78],"resorted":[79],"motifs":[81,153,157],"and":[82,127,161,238],"developed":[83],"motif-based":[84,89],"GNNs.":[85],"existing":[88],"still":[91],"less":[95],"on":[98,120,229,233],"overcome":[102],"above":[104],"limitations,":[105],"we":[106],"propose":[107],"motif":[108,123,129],"GNN":[109],"(MGNN),":[110],"novel":[112],"framework":[113],"better":[115],"hinging":[119],"our":[121,148,209],"proposed":[122,149,210],"redundancy":[124,150],"minimization":[125,151],"operator":[126],"injective":[128,194],"combination.":[130],"First,":[131],"MGNN":[132,170,191,225],"produces":[133],"set":[135],"of":[136,174,216],"node":[137,175,236],"representations":[138,176,180,199],"with":[139,158,200,218],"respect":[140,201],"each":[142,159,167],"motif.":[143,168],"The":[144],"next":[145],"phase":[146],"among":[152],"compares":[155],"other":[160],"distills":[162],"features":[164],"unique":[165],"Finally,":[169],"performs":[171],"updating":[173],"by":[177],"combining":[178],"multiple":[179],"different":[182,203],"motifs.":[183,204],"In":[184],"particular,":[185],"enhance":[187],"power,":[190],"uses":[192],"an":[193],"function":[195],"combine":[197],"We":[205,222],"further":[206],"show":[207],"that":[208,224],"architecture":[211],"increases":[212],"expressive":[214],"theoretical":[220],"analysis.":[221],"demonstrate":[223],"outperforms":[226],"state-of-the-art":[227],"methods":[228],"seven":[230],"public":[231],"benchmarks":[232],"both":[234],"classification":[237,240],"tasks.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}