{"id":"https://openalex.org/W4210841708","doi":"https://doi.org/10.1109/tkde.2022.3148299","title":"Graph Substructure Assembling Network with Soft Sequence and Context Attention","display_name":"Graph Substructure Assembling Network with Soft Sequence and Context Attention","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210841708","doi":"https://doi.org/10.1109/tkde.2022.3148299"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3148299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3148299","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-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/A5102968006","display_name":"Yaming Yang","orcid":"https://orcid.org/0000-0001-7575-5780"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaming Yang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xidian University, 47905 Xian, Shaanxi, China, (e-mail: ymyang@stu.xidian.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xidian University, 47905 Xian, Shaanxi, China, (e-mail: ymyang@stu.xidian.edu.cn)","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065194313","display_name":"Ziyu Guan","orcid":"https://orcid.org/0000-0003-2413-4698"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Guan","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, 47905 Xi'an, Shaanxi, China, 710071 (e-mail: zyguan@xidian.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, 47905 Xi'an, Shaanxi, China, 710071 (e-mail: zyguan@xidian.edu.cn)","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066877556","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-0622-9258"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China, (e-mail: ywzhao@mail.xidian.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China, (e-mail: ywzhao@mail.xidian.edu.cn)","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023576346","display_name":"Weigang Lu","orcid":"https://orcid.org/0000-0001-9751-8241"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Weigang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xidian University, 47905 Xian, Shanxi, China, (e-mail: wglu@stu.xidian.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xidian University, 47905 Xian, Shanxi, China, (e-mail: wglu@stu.xidian.edu.cn)","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091340586","display_name":"Bo Zong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Zong","raw_affiliation_strings":["Data Science & System Security, NEC Laboratories America Inc, 102731 Princeton, New Jersey, United States, (e-mail: bzong@nec-labs.com)"],"affiliations":[{"raw_affiliation_string":"Data Science & System Security, NEC Laboratories America Inc, 102731 Princeton, New Jersey, United States, (e-mail: bzong@nec-labs.com)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102968006"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.99,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87991683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.7256989479064941},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6809612512588501},{"id":"https://openalex.org/keywords/substructure","display_name":"Substructure","score":0.5725773572921753},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5209459066390991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48843255639076233},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4613589942455292},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4602370262145996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4202398657798767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38971298933029175},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3627617359161377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3313755989074707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256989479064941},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6809612512588501},{"id":"https://openalex.org/C99679407","wikidata":"https://www.wikidata.org/wiki/Q56761637","display_name":"Substructure","level":2,"score":0.5725773572921753},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5209459066390991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48843255639076233},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4613589942455292},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4602370262145996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4202398657798767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38971298933029175},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3627617359161377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3313755989074707},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3148299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3148299","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3083892850","display_name":null,"funder_award_id":"61876145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4083118349","display_name":null,"funder_award_id":"61973249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5889316065","display_name":null,"funder_award_id":"61876144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071169373","display_name":null,"funder_award_id":"61936006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1179283095","https://openalex.org/W1816257748","https://openalex.org/W1924770834","https://openalex.org/W1974166884","https://openalex.org/W1977340881","https://openalex.org/W2008857988","https://openalex.org/W2020859943","https://openalex.org/W2034618876","https://openalex.org/W2056562706","https://openalex.org/W2064675550","https://openalex.org/W2092750499","https://openalex.org/W2099438806","https://openalex.org/W2116341502","https://openalex.org/W2125571188","https://openalex.org/W2133564696","https://openalex.org/W2142498761","https://openalex.org/W2147286743","https://openalex.org/W2170726034","https://openalex.org/W2470673105","https://openalex.org/W2606202972","https://openalex.org/W2787434568","https://openalex.org/W2788178129","https://openalex.org/W2850438274","https://openalex.org/W2906831717","https://openalex.org/W2923825696","https://openalex.org/W2940926677","https://openalex.org/W2962810718","https://openalex.org/W2963716836","https://openalex.org/W2985111225","https://openalex.org/W3035664258","https://openalex.org/W3093499132","https://openalex.org/W3102874754","https://openalex.org/W3173856251","https://openalex.org/W3188982020","https://openalex.org/W3202462845","https://openalex.org/W4239510810","https://openalex.org/W4288358458","https://openalex.org/W4297733535","https://openalex.org/W6637178625","https://openalex.org/W6640212811","https://openalex.org/W6679434410","https://openalex.org/W6681029592","https://openalex.org/W6682691769","https://openalex.org/W6685265622","https://openalex.org/W6685350579","https://openalex.org/W6690815549","https://openalex.org/W6697873463","https://openalex.org/W6713134421","https://openalex.org/W6713582119","https://openalex.org/W6719057275","https://openalex.org/W6720006811","https://openalex.org/W6739901393","https://openalex.org/W6747885307","https://openalex.org/W6752687256","https://openalex.org/W6758623387","https://openalex.org/W6761452831","https://openalex.org/W6762341966","https://openalex.org/W7065437122"],"related_works":["https://openalex.org/W3153444835","https://openalex.org/W2153916713","https://openalex.org/W2023846184","https://openalex.org/W2703419385","https://openalex.org/W2329056228","https://openalex.org/W2284584236","https://openalex.org/W2950955148","https://openalex.org/W1979083399","https://openalex.org/W2344320748","https://openalex.org/W2374530195"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"a":[3,40,61,69,103,151],"surge":[4],"of":[5,18,71,82,102,174,195],"researchers'":[6],"interest":[7],"in":[8,128],"building":[9],"predictive":[10],"models":[11],"over":[12],"graphs.":[13],"However,":[14,130],"the":[15,100,117,138,163,170,175,181,193],"overwhelming":[16],"complexity":[17],"graph":[19,33,42,53,83],"space":[20],"often":[21],"makes":[22],"it":[23],"challenging":[24],"to":[25,51,77,87,98,115,120,147,168],"extract":[26],"interpretable":[27],"and":[28],"discriminative":[29,89],"structural":[30],"features":[31],"for":[32,55],"classification.":[34,56,178],"In":[35],"this":[36,131],"work,":[37],"we":[38,144],"propose":[39,146],"new":[41],"neural":[43],"network":[44],"model":[45,118,182],"called":[46],"Substructure":[47,63],"Assembling":[48,64],"Network":[49,74],"(SAN)":[50],"learn":[52,169],"representations":[54],"The":[57],"key":[58,92],"innovation":[59],"is":[60,68,94,110,141],"unified":[62],"Unit":[65],"(SAU),":[66],"which":[67],"variant":[70],"Recurrent":[72],"Neural":[73],"(RNN)":[75],"designed":[76],"hierarchically":[78],"assemble":[79],"useful":[80],"pieces":[81],"components":[84],"so":[85],"as":[86,186,188],"fabricate":[88],"substructures.":[90],"A":[91],"challenge":[93],"that":[95],"SAUs":[96],"need":[97],"process":[99],"neighbors":[101,176],"node":[104],"sequentially":[105],"while":[106],"no":[107],"natural":[108],"order":[109],"defined":[111],"therein.":[112],"SAN":[113,149],"tries":[114],"make":[116],"insensitive":[119],"neighborhood":[121,126,139],"orders":[122],"by":[123],"randomly":[124],"shuffling":[125],"sequences":[127],"training.":[129],"could":[132],"suffer":[133],"high":[134],"variance,":[135],"especially":[136],"when":[137],"size":[140],"large.":[142],"Hence,":[143],"further":[145],"equip":[148],"with":[150,157],"novel":[152],"module":[153],"named":[154],"Soft":[155],"Sequence":[156],"Context":[158],"Attention":[159],"(SSCA).":[160],"SAN-SSCA":[161],"employs":[162],"proposed":[164],"context":[165],"attention":[166],"technique":[167],"best":[171],"\"soft\"":[172],"permutation":[173],"w.r.t.":[177],"It":[179],"helps":[180],"achieve":[183],"higher":[184],"accuracy":[185],"well":[187],"lower":[189],"variance.":[190],"Experiments":[191],"confirm":[192],"effectiveness":[194],"SAN-SSCA.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
