{"id":"https://openalex.org/W4393033445","doi":"https://doi.org/10.1109/access.2024.3380012","title":"Improving Variational Graph Autoencoders With Multi-Order Graph Convolutions","display_name":"Improving Variational Graph Autoencoders With Multi-Order Graph Convolutions","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393033445","doi":"https://doi.org/10.1109/access.2024.3380012"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3380012","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3380012","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10477408.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/ielx7/6287639/6514899/10477408.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102937845","display_name":"Lining Yuan","orcid":"https://orcid.org/0009-0006-3006-535X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lining Yuan","raw_affiliation_strings":["School of Public Security Big Data Modern Industry, Guangxi Police College, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Security Big Data Modern Industry, Guangxi Police College, Nanning, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113691602","display_name":"Ping Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Jiang","raw_affiliation_strings":["School of Public Security Big Data Modern Industry, Guangxi Police College, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Security Big Data Modern Industry, Guangxi Police College, Nanning, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030100171","display_name":"Wen Zhu","orcid":"https://orcid.org/0009-0004-2627-738X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu Wen","raw_affiliation_strings":["School of Public Security Big Data Modern Industry, Guangxi Police College, Nanning, China"],"raw_orcid":"https://orcid.org/0009-0004-2627-738X","affiliations":[{"raw_affiliation_string":"School of Public Security Big Data Modern Industry, Guangxi Police College, Nanning, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051002275","display_name":"Jionghui Li","orcid":"https://orcid.org/0009-0007-9810-2839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jionghui Li","raw_affiliation_strings":["Suzhou Keda Technology Corporation Ltd., Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Keda Technology Corporation Ltd., Suzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102937845"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6032,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90494802,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"46919","last_page":"46929"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9976000189781189,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.6423544883728027},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5933881402015686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.346916526556015},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3072490096092224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423544883728027},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5933881402015686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.346916526556015},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3072490096092224}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3380012","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3380012","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10477408.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:025d2e8d9cb746fd8a85da1c8047095c","is_oa":true,"landing_page_url":"https://doaj.org/article/025d2e8d9cb746fd8a85da1c8047095c","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 12, Pp 46919-46929 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3380012","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3380012","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10477408.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/G1655568544","display_name":null,"funder_award_id":"AB22035034","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320336589","display_name":"Guangxi Key Research and Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393033445.pdf","grobid_xml":"https://content.openalex.org/works/W4393033445.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1991252559","https://openalex.org/W2046253692","https://openalex.org/W2138621811","https://openalex.org/W2146398330","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2962756421","https://openalex.org/W2962810718","https://openalex.org/W2964051675","https://openalex.org/W2964321699","https://openalex.org/W2979401726","https://openalex.org/W3080764280","https://openalex.org/W3101413764","https://openalex.org/W3104097132","https://openalex.org/W3118484112","https://openalex.org/W3127396246","https://openalex.org/W3135590698","https://openalex.org/W3162435556","https://openalex.org/W3193389962","https://openalex.org/W3193704170","https://openalex.org/W3199612398","https://openalex.org/W3210619801","https://openalex.org/W3213302843","https://openalex.org/W4200171560","https://openalex.org/W4212876221","https://openalex.org/W4220752134","https://openalex.org/W4284664815","https://openalex.org/W4285128056","https://openalex.org/W4285593753","https://openalex.org/W4285729375","https://openalex.org/W4287750641","https://openalex.org/W4290876096","https://openalex.org/W4292941874","https://openalex.org/W4295921726","https://openalex.org/W4320060387","https://openalex.org/W4320913477","https://openalex.org/W4321497659","https://openalex.org/W4360852825","https://openalex.org/W4386536278","https://openalex.org/W6690230747","https://openalex.org/W6769430610","https://openalex.org/W6791149046","https://openalex.org/W6795445251","https://openalex.org/W6840343187"],"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":{"Variational":[0,66],"Graph":[1,24,67,80],"Autoencoders":[2,68],"(VAGE)":[3],"emerged":[4],"as":[5],"powerful":[6],"graph":[7,15,118,153,184],"representation":[8],"learning":[9],"methods":[10,20],"with":[11,70,136,186],"promising":[12],"performance":[13,162],"on":[14,23,142,151],"analysis":[16,173],"tasks.":[17,169],"However,":[18],"existing":[19],"typically":[21],"rely":[22],"Convolutional":[25,81],"Networks":[26,82],"(GCN)":[27],"to":[28,43,53,86,103,164],"encode":[29],"the":[30,35,51,59,64,88,93,99,117,121,124,129,133,137,171,181],"attributes":[31,188],"and":[32,74,78,90,101,113,147,189],"topology":[33],"of":[34,72,132,183],"original":[36],"graph.":[37],"This":[38],"strategy":[39],"makes":[40],"it":[41],"difficult":[42],"fully":[44],"learn":[45,54],"high-order":[46,75,114],"neighborhood":[47],"information,":[48],"which":[49],"weakens":[50],"capacity":[52],"higher-quality":[55],"representations.":[56,106,134],"To":[57],"address":[58],"above":[60],"issues,":[61],"we":[62],"propose":[63],"Multi-order":[65,79],"(MoVGAE)":[69],"co-learning":[71],"first-order":[73,112],"neighborhoods.":[76],"GCN":[77],"(MoGCN)":[83],"are":[84],"utilized":[85],"generate":[87],"mean":[89,100],"variance":[91,102],"for":[92],"variational":[94],"autoencoders.":[95],"Then,":[96],"MoVGAE":[97,159,176],"uses":[98],"calculate":[104],"node":[105,143,145],"Specifically,":[107],"this":[108],"approach":[109],"comprehensively":[110],"encodes":[111],"information":[115],"in":[116,167,180],"data.":[119],"Finally,":[120],"decoder":[122],"reconstructs":[123],"adjacency":[125],"matrix":[126],"by":[127],"performing":[128],"inner":[130],"product":[131],"Experiments":[135],"proposed":[138],"method":[139],"were":[140],"conducted":[141],"classification,":[144],"clustering,":[146],"link":[148],"prediction":[149],"tasks":[150],"real-world":[152],"datasets.":[154],"The":[155],"results":[156],"demonstrate":[157],"that":[158,175],"achieves":[160],"state-of-the-art":[161],"compared":[163],"other":[165],"baselines":[166],"various":[168],"Furthermore,":[170],"robustness":[172],"verifies":[174],"has":[177],"obvious":[178],"advantages":[179],"processes":[182],"data":[185],"insufficient":[187],"topology.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
