{"id":"https://openalex.org/W4246614746","doi":"https://doi.org/10.1109/bibm.2018.8621565","title":"Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks","display_name":"Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W4246614746","doi":"https://doi.org/10.1109/bibm.2018.8621565"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100453553","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-5728-6463"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084343474","display_name":"Jiajie Peng","orcid":"https://orcid.org/0000-0002-3857-7927"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Peng","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392447","display_name":"Yadong Wang","orcid":"https://orcid.org/0000-0001-6500-6217"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457144","display_name":"Jin Chen","orcid":"https://orcid.org/0000-0001-6076-1141"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Chen","raw_affiliation_strings":["Institute for Biomedical Informatics, University of Kentucky, Lexington, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Biomedical Informatics, University of Kentucky, Lexington, USA","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100453553"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.10710461,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50518535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1384","issue":null,"first_page":"149","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9943000078201294,"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/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.775421679019928},{"id":"https://openalex.org/keywords/network-motif","display_name":"Network motif","score":0.7554703950881958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811102032661438},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.627274751663208},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.6007541418075562},{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.5621722936630249},{"id":"https://openalex.org/keywords/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.5291871428489685},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5074784159660339},{"id":"https://openalex.org/keywords/structural-motif","display_name":"Structural motif","score":0.48394420742988586},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40578556060791016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3720967173576355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3715783357620239},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.28517985343933105},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.19431331753730774},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.1603786051273346}],"concepts":[{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.775421679019928},{"id":"https://openalex.org/C60723933","wikidata":"https://www.wikidata.org/wiki/Q7001080","display_name":"Network motif","level":3,"score":0.7554703950881958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811102032661438},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.627274751663208},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.6007541418075562},{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.5621722936630249},{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.5291871428489685},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5074784159660339},{"id":"https://openalex.org/C132677234","wikidata":"https://www.wikidata.org/wiki/Q3273544","display_name":"Structural motif","level":2,"score":0.48394420742988586},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40578556060791016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3720967173576355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3715783357620239},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.28517985343933105},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.19431331753730774},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.1603786051273346},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"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":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":33,"referenced_works":["https://openalex.org/W1502432690","https://openalex.org/W1553420678","https://openalex.org/W1971421925","https://openalex.org/W1977192870","https://openalex.org/W1994948074","https://openalex.org/W2018045523","https://openalex.org/W2026595597","https://openalex.org/W2041140023","https://openalex.org/W2060616833","https://openalex.org/W2066506515","https://openalex.org/W2081375228","https://openalex.org/W2104085672","https://openalex.org/W2105302963","https://openalex.org/W2110699703","https://openalex.org/W2112262143","https://openalex.org/W2121470019","https://openalex.org/W2124533460","https://openalex.org/W2126359798","https://openalex.org/W2135303340","https://openalex.org/W2139322160","https://openalex.org/W2144636447","https://openalex.org/W2150881673","https://openalex.org/W2153624566","https://openalex.org/W2169015768","https://openalex.org/W2387255728","https://openalex.org/W2469279958","https://openalex.org/W2470861207","https://openalex.org/W2537623931","https://openalex.org/W2743418339","https://openalex.org/W2794429201","https://openalex.org/W4243777566","https://openalex.org/W6630163099","https://openalex.org/W6728998201"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W231720905","https://openalex.org/W2604893261","https://openalex.org/W2915540008","https://openalex.org/W1482551403","https://openalex.org/W2361654510","https://openalex.org/W2128390795","https://openalex.org/W2604114816","https://openalex.org/W1979431214","https://openalex.org/W2142272337"],"abstract_inverted_index":{"Network":[0],"motifs":[1,28,112,124],"are":[2,9,75],"recurring":[3],"significant":[4],"patterns":[5],"of":[6,19,24,59],"inter-connections,":[7],"which":[8],"recognized":[10],"as":[11,120],"fundamental":[12],"units":[13],"to":[14,61,80,117],"study":[15],"the":[16,22,50,57,94,121],"higher-order":[17,127],"organizations":[18],"networks.":[20],"However,":[21],"principle":[23],"selecting":[25],"representative":[26,122],"network":[27,45,111,123,137],"for":[29,44,69,125],"local":[30],"motif":[31,46,51],"based":[32],"clustering":[33],"remains":[34],"largely":[35],"unexplored.":[36],"We":[37],"present":[38],"a":[39],"scalable":[40],"algorithm":[41],"called":[42],"FSM":[43,48,79,89],"discovery.":[47],"accelerates":[49],"discovery":[52],"process":[53],"by":[54],"effectively":[55],"reducing":[56],"number":[58],"times":[60],"do":[62],"subgraph":[63,70,73],"isomorphism":[64],"labeling.":[65],"Multiple":[66],"heuristic":[67],"optimizations":[68],"enumeration":[71],"and":[72,100,109],"classification":[74],"also":[76],"adopted":[77],"in":[78,130],"further":[81],"improve":[82],"its":[83],"performance.":[84],"Experimental":[85],"results":[86],"show":[87],"that":[88,107],"is":[90],"more":[91,115],"efficient":[92],"than":[93,133],"compared":[95],"models":[96],"on":[97],"computational":[98],"efficiency":[99],"memory":[101],"usage.":[102],"Furthermore,":[103],"our":[104],"experiments":[105],"indicate":[106],"large":[108],"frequent":[110],"may":[113],"be":[114,118],"appropriate":[116],"selected":[119],"discovering":[126],"organizational":[128],"structures":[129],"biological":[131],"networks":[132],"small":[134],"or":[135],"low-frequency":[136],"motifs.":[138]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}