{"id":"https://openalex.org/W2922418484","doi":"https://doi.org/10.1109/access.2019.2901804","title":"A Dilated Recurrent Neural Network-Based Model for Graph Embedding","display_name":"A Dilated Recurrent Neural Network-Based Model for Graph Embedding","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2922418484","doi":"https://doi.org/10.1109/access.2019.2901804","mag":"2922418484"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2901804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08666969.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":null,"license_id":null,"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/ielx7/6287639/8600701/08666969.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101913012","display_name":"Han Xiao","orcid":"https://orcid.org/0000-0003-1663-7893"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Han","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1663-7893","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633263","display_name":"Chunhong Zhang","orcid":"https://orcid.org/0000-0003-3008-1887"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Zhang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028862897","display_name":"Yang Ji","orcid":"https://orcid.org/0000-0002-4315-761X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Ji","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075198788","display_name":"Zheng Hu","orcid":"https://orcid.org/0000-0002-8874-5466"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Hu","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2824,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"32085","last_page":"32092"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9927999973297119,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.7147742509841919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374469995498657},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5575811266899109},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5094881653785706},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4836941361427307},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4226098358631134},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41322600841522217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32967978715896606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24577224254608154}],"concepts":[{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.7147742509841919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374469995498657},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5575811266899109},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5094881653785706},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4836941361427307},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4226098358631134},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41322600841522217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32967978715896606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24577224254608154},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2901804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08666969.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2b74959d73cb4857ae186f4891486c6d","is_oa":true,"landing_page_url":"https://doaj.org/article/2b74959d73cb4857ae186f4891486c6d","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 7, Pp 32085-32092 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2901804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08666969.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":null,"license_id":null,"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/G462290852","display_name":null,"funder_award_id":"61602048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5814277799","display_name":null,"funder_award_id":"61520106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G731386166","display_name":null,"funder_award_id":"61601046","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"},{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2922418484.pdf","grobid_xml":"https://content.openalex.org/works/W2922418484.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W205829674","https://openalex.org/W1426956448","https://openalex.org/W1522301498","https://openalex.org/W1699691160","https://openalex.org/W1888005072","https://openalex.org/W2053186076","https://openalex.org/W2101802482","https://openalex.org/W2117130368","https://openalex.org/W2127795553","https://openalex.org/W2133564696","https://openalex.org/W2142535891","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2184957013","https://openalex.org/W2247119764","https://openalex.org/W2250342289","https://openalex.org/W2250911766","https://openalex.org/W2283196293","https://openalex.org/W2393319904","https://openalex.org/W2466714650","https://openalex.org/W2499696929","https://openalex.org/W2522332826","https://openalex.org/W2523679382","https://openalex.org/W2526174222","https://openalex.org/W2584683887","https://openalex.org/W2604314403","https://openalex.org/W2608223753","https://openalex.org/W2612872092","https://openalex.org/W2809353105","https://openalex.org/W2949403529","https://openalex.org/W2949926081","https://openalex.org/W2950292336","https://openalex.org/W2962756421","https://openalex.org/W2963241221","https://openalex.org/W2964152081","https://openalex.org/W3104097132","https://openalex.org/W6608344535","https://openalex.org/W6675255137","https://openalex.org/W6678830454","https://openalex.org/W6682755970","https://openalex.org/W6683461794","https://openalex.org/W6686133869","https://openalex.org/W6695596964","https://openalex.org/W6724366048","https://openalex.org/W6732817889","https://openalex.org/W6743485176"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W3029018717","https://openalex.org/W2622343169","https://openalex.org/W4287827790","https://openalex.org/W2966686650","https://openalex.org/W4287865815"],"abstract_inverted_index":{"Graph":[0],"embedding":[1,8,31],"aims":[2],"to":[3,33,84,147,178],"preserve":[4,34,148],"graphs":[5,39],"into":[6,122],"low-dimensional":[7],"space":[9],"while":[10,156],"preserving":[11],"their":[12],"properties.":[13],"As":[14],"thus,":[15],"the":[16,42,54,86,90,132,139,149,153,158,166,169,179,191,195],"embeddings":[17,192],"can":[18,97,119],"be":[19,120],"easily":[20],"exploited":[21],"by":[22,194],"downstream":[23],"graph-based":[24],"tasks.":[25],"Most":[26],"existing":[27],"models":[28],"of":[29,38,69,113,135,152,161,168,183,203],"graph":[30,77,110,137,154,185],"strive":[32],"some":[35],"proximity":[36,44,47,55,92],"properties":[37],"such":[40],"as":[41,101],"first/second-order":[43],"or":[45],"higher-order":[46,103],"within":[48,94],"a":[49,66,76,109,123,136,142],"random":[50],"walk":[51],"sequence.":[52,129],"However,":[53],"relationship":[56],"between":[57],"different":[58],"sequences":[59],"has":[60],"been":[61],"rarely":[62],"discussed,":[63],"which":[64],"is":[65],"significant":[67],"property":[68],"graphs.":[70],"For":[71],"this":[72],"reason,":[73],"we":[74,96,106,174],"propose":[75],"dilated":[78],"recurrent":[79],"neural":[80],"network":[81,145],"(G-DRNN)":[82],"model":[83],"learn":[85],"inter-sequence":[87,91],"proximity.":[88,104],"Considering":[89],"exists":[93],"subgraphs,":[95],"also":[98],"define":[99],"it":[100,177],"subgraph-aware":[102],"Especially,":[105],"note":[107],"that":[108,190],"sequence":[111,155],"consists":[112],"alternating":[114],"nodes":[115],"and":[116,118,126,206],"edges":[117],"decomposed":[121],"node":[124,207],"subsequence":[125],"an":[127],"edge":[128],"To":[130,164],"explore":[131],"special":[133],"structure":[134],"sequence,":[138],"G-DRNN":[140,170,196],"exploits":[141],"skip":[143],"connection":[144],"architecture":[146],"overall":[150],"information":[151],"maintaining":[157],"relative":[159],"independence":[160],"each":[162],"subsequence.":[163],"evaluate":[165],"effectiveness":[167],"in":[171],"multi-relational":[172],"graphs,":[173],"empirically":[175],"apply":[176],"popular":[180],"research":[181],"interest":[182],"knowledge":[184],"embedding.":[186],"The":[187],"results":[188],"demonstrate":[189],"learned":[193],"outperform":[197],"previous":[198],"approaches":[199],"on":[200],"both":[201],"tasks":[202],"link":[204],"prediction":[205],"classification.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
