{"id":"https://openalex.org/W3027427368","doi":"https://doi.org/10.1109/access.2020.2995406","title":"Graph Convolutional Architectures via Arbitrary Order of Information Aggregation","display_name":"Graph Convolutional Architectures via Arbitrary Order of Information Aggregation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3027427368","doi":"https://doi.org/10.1109/access.2020.2995406","mag":"3027427368"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2995406","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995406","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09095292.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09095292.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091098647","display_name":"Chunpeng Zhou","orcid":"https://orcid.org/0000-0002-7675-8403"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunpeng Zhou","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-7675-8403","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048137853","display_name":"Benyun Shi","orcid":"https://orcid.org/0000-0003-2734-3794"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benyun Shi","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2734-3794","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052068543","display_name":"Hongjun Qiu","orcid":"https://orcid.org/0000-0003-3239-4473"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Qiu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3239-4473","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062375227","display_name":"Jiming Liu","orcid":"https://orcid.org/0000-0002-8669-9064"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiming Liu","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8669-9064","affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.1304,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52772147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"92802","last_page":"92813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996399998664856,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8030601143836975},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.592667281627655},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4033263325691223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030601143836975},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.592667281627655},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4033263325691223}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2995406","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995406","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09095292.pdf","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:77f04d89ebe747fabff819272fb1787c","is_oa":true,"landing_page_url":"https://doaj.org/article/77f04d89ebe747fabff819272fb1787c","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 8, Pp 92802-92813 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2995406","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995406","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09095292.pdf","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":[],"awards":[{"id":"https://openalex.org/G1556065401","display_name":"Modeling and Inferring Latent Diffusion Networks for Active Surveillance and Prediction of Infectious Diseases","funder_award_id":"12201318","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G2868392903","display_name":"\u57fa\u4e8e\u7f51\u7edc\u591a\u5143\u7ed3\u6784\u7684\u81ea\u4e3b\u514d\u75ab\u7b56\u7565\u7814\u7a76","funder_award_id":"LQ19F030011","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3652706613","display_name":null,"funder_award_id":"RGC/HKBU12201619","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G3731245705","display_name":null,"funder_award_id":"RGC/HKBU12201619","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G650280611","display_name":null,"funder_award_id":"12201318","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3027427368.pdf","grobid_xml":"https://content.openalex.org/works/W3027427368.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W67413104","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1614298861","https://openalex.org/W1662382123","https://openalex.org/W1888005072","https://openalex.org/W2021969955","https://openalex.org/W2026417691","https://openalex.org/W2031072803","https://openalex.org/W2057685268","https://openalex.org/W2090891622","https://openalex.org/W2095705004","https://openalex.org/W2116341502","https://openalex.org/W2134280081","https://openalex.org/W2139823104","https://openalex.org/W2142535891","https://openalex.org/W2150120952","https://openalex.org/W2151686561","https://openalex.org/W2153959628","https://openalex.org/W2154455818","https://openalex.org/W2154851992","https://openalex.org/W2163922914","https://openalex.org/W2167482691","https://openalex.org/W2168627253","https://openalex.org/W2194775991","https://openalex.org/W2387462954","https://openalex.org/W2407712691","https://openalex.org/W2470861207","https://openalex.org/W2558460151","https://openalex.org/W2604942799","https://openalex.org/W2607500032","https://openalex.org/W2612872092","https://openalex.org/W2739802477","https://openalex.org/W2792234394","https://openalex.org/W2803533564","https://openalex.org/W2808867307","https://openalex.org/W2904900486","https://openalex.org/W2905224888","https://openalex.org/W2916106175","https://openalex.org/W2945623882","https://openalex.org/W2949435814","https://openalex.org/W2962711740","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2963224980","https://openalex.org/W2963285578","https://openalex.org/W2963312446","https://openalex.org/W2964015378","https://openalex.org/W2964113829","https://openalex.org/W2964321699","https://openalex.org/W2966333547","https://openalex.org/W2981315114","https://openalex.org/W2997701990","https://openalex.org/W3101290021","https://openalex.org/W3102794461","https://openalex.org/W3104097132","https://openalex.org/W4232932184","https://openalex.org/W4293651439","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6602764823","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6636510571","https://openalex.org/W6637178625","https://openalex.org/W6674330103","https://openalex.org/W6675747103","https://openalex.org/W6680434193","https://openalex.org/W6682494755","https://openalex.org/W6682691769","https://openalex.org/W6685350579","https://openalex.org/W6685562342","https://openalex.org/W6699364125","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6736262870","https://openalex.org/W6738964360","https://openalex.org/W6744557953","https://openalex.org/W6751310286","https://openalex.org/W6754929296","https://openalex.org/W6757078134","https://openalex.org/W6757374366","https://openalex.org/W6760001035"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Graph":[0],"representation":[1],"learning":[2,19,63,82,92],"(GRL)":[3],"has":[4],"recently":[5],"drawn":[6],"a":[7,44,55,76,97,127,131,156,170,182],"lot":[8],"of":[9,39,100,136,148,152,197,204,215,232,245],"attention":[10],"due":[11],"to":[12,27,42,108],"its":[13],"advantage":[14],"in":[15,54,88,112,130,177,243],"solving":[16,89],"various":[17],"machine":[18,62,81,91],"tasks":[20,93],"on":[21,94,117,201,225],"graphs/networks,":[22],"ranging":[23],"from":[24,79],"drug":[25],"design":[26],"recommendation":[28],"systems.":[29],"One":[30],"typical":[31],"GRL":[32,241],"approach":[33],"is":[34,41],"graph":[35,71,101,184],"embedding,":[36],"the":[37,133,146,153,158,164,195,202,220,230,233],"purpose":[38],"which":[40],"learn":[43,74,109],"map":[45,77],"that":[46,60,188],"encodes":[47],"or":[48],"represents":[49],"network":[50,124,186],"elements":[51],"as":[52,126],"points":[53],"low-dimensional":[56],"vector":[57],"space":[58],"so":[59],"downstream":[61],"methods":[64,242],"can":[65,141,209],"be":[66,142,167],"easily":[67],"implemented.":[68],"Initially,":[69],"most":[70],"embedding":[72],"algorithms":[73],"such":[75],"independently":[78],"subsequent":[80],"tasks.":[83],"Therefore,":[84],"they":[85],"have":[86,105],"limitations":[87],"supervised":[90],"networks.":[95],"Later,":[96],"great":[98],"deal":[99],"convolutional":[102,185],"networks":[103,228],"(GCNs)":[104],"been":[106],"proposed":[107,234],"node":[110,246],"representations":[111,165],"an":[113,212],"end-to-end":[114],"manner":[115],"based":[116],"different":[118],"information":[119,135,191,216],"aggregation":[120,192,217],"mechanisms.":[121],"By":[122],"treating":[123],"structure":[125],"computational":[128,159,221,249],"layer":[129],"GCN,":[132],"associated":[134],"nodes":[137],"with":[138,239],"higher-order":[139,190],"proximity":[140],"aggregated":[143],"by":[144,193,236],"increasing":[145,219],"number":[147,196],"layers":[149],"(i.e.,":[150],"depth)":[151],"GCN.":[154],"As":[155],"consequence,":[157],"overhead":[160],"will":[161,166],"increase":[162],"and":[163,248],"projected":[168],"towards":[169],"steady":[171],"state.":[172],"To":[173],"solve":[174],"this":[175,178],"problem,":[176],"paper,":[179],"we":[180],"propose":[181],"multi-channel":[183],"(MCGCN)":[187],"allows":[189],"enriching":[194],"input":[198],"channels.":[199],"Based":[200],"notion":[203],"Katz":[205],"index,":[206],"our":[207],"model":[208],"further":[210],"achieve":[211],"arbitrary":[213],"order":[214],"without":[218],"overhead.":[222],"Comprehensive":[223],"experiments":[224],"several":[226],"benchmark":[227],"demonstrate":[229],"effectiveness":[231],"architecture":[235],"comparing":[237],"it":[238],"the-state-of-art":[240],"terms":[244],"classification":[247],"efficiency.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}