{"id":"https://openalex.org/W4391683953","doi":"https://doi.org/10.1007/s11063-024-11496-1","title":"GraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning","display_name":"GraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning","publication_year":2024,"publication_date":"2024-02-09","ids":{"openalex":"https://openalex.org/W4391683953","doi":"https://doi.org/10.1007/s11063-024-11496-1"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11496-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11496-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11496-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11496-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093807295","display_name":"E Jiawei","orcid":null},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"E. Jiawei","raw_affiliation_strings":["School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071742844","display_name":"Yinglong Zhang","orcid":"https://orcid.org/0000-0002-3293-3257"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinglong Zhang","raw_affiliation_strings":["School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041272531","display_name":"Shangying Yang","orcid":"https://orcid.org/0000-0001-8970-7501"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangying Yang","raw_affiliation_strings":["School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370862","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0001-5727-7834"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006869135","display_name":"Xuewen Xia","orcid":"https://orcid.org/0000-0002-4938-1479"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Xia","raw_affiliation_strings":["School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101608433","display_name":"Xing Xu","orcid":"https://orcid.org/0000-0002-1783-0815"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xu","raw_affiliation_strings":["School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071742844"],"corresponding_institution_ids":["https://openalex.org/I9356336"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":6.3183,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96883794,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"56","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9944999814033508,"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/T10028","display_name":"Topic Modeling","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6606444120407104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5346122980117798},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5123983025550842},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48660528659820557},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4409363269805908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40361666679382324},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29304301738739014},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07532697916030884}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6606444120407104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5346122980117798},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5123983025550842},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48660528659820557},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4409363269805908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40361666679382324},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29304301738739014},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07532697916030884},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11496-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11496-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11496-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11496-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11496-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11496-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4542358678","display_name":null,"funder_award_id":"61762036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G903822657","display_name":null,"funder_award_id":"2023J01922","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391683953.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2006187397","https://openalex.org/W2090891622","https://openalex.org/W2907492528","https://openalex.org/W2964164193","https://openalex.org/W2985331920","https://openalex.org/W2990045899","https://openalex.org/W2998496395","https://openalex.org/W3005365663","https://openalex.org/W3022729904","https://openalex.org/W3035664258","https://openalex.org/W3042770487","https://openalex.org/W3099375322","https://openalex.org/W3152893301","https://openalex.org/W3189431285","https://openalex.org/W4224119973","https://openalex.org/W4291474301","https://openalex.org/W4306317072","https://openalex.org/W4385300512","https://openalex.org/W4386536278"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2736674626","https://openalex.org/W2973875853","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1987895166","https://openalex.org/W1983629434","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742"],"abstract_inverted_index":{"Abstract":[0],"Graph":[1],"neural":[2,73],"networks":[3],"(GNNs)":[4],"have":[5],"emerged":[6],"as":[7,22],"a":[8,70],"powerful":[9],"tool":[10],"in":[11,133,144],"graph":[12,34,62,72],"representation":[13,81],"learning.":[14],"However,":[15],"they":[16],"are":[17,111],"increasingly":[18],"challenged":[19],"by":[20],"over-smoothing":[21],"network":[23,74],"depth":[24],"grows,":[25],"compromising":[26],"their":[27],"ability":[28],"to":[29,56,96],"capture":[30],"and":[31,54,59,89,119,138],"represent":[32],"complex":[33],"structures.":[35,63],"Additionally,":[36],"some":[37],"popular":[38],"GNN":[39],"variants":[40],"only":[41],"consider":[42],"local":[43],"neighbor":[44],"information":[45,53],"during":[46],"node":[47,85],"updating,":[48],"ignoring":[49],"the":[50,80,83,98,103,116],"global":[51],"structural":[52,122],"leading":[55],"inadequate":[57],"learning":[58],"differentiation":[60],"of":[61,82,121],"To":[64],"address":[65],"these":[66],"challenges,":[67],"we":[68],"introduce":[69],"novel":[71],"framework,":[75],"GraphSAGE++.":[76],"Our":[77],"model":[78],"extracts":[79],"target":[84],"at":[86],"each":[87],"layer":[88,93],"then":[90],"concatenates":[91],"all":[92],"weighted":[94,109],"representations":[95],"obtain":[97],"final":[99],"result.":[100],"In":[101],"addition,":[102],"strategies":[104],"combining":[105],"double":[106],"aggregations":[107],"with":[108],"concatenation":[110],"proposed,":[112],"which":[113],"significantly":[114],"enhance":[115],"model\u2019s":[117],"discernment":[118],"preservation":[120],"information.":[123],"Empirical":[124],"results":[125],"on":[126],"various":[127],"datasets":[128],"demonstrate":[129],"that":[130],"GraphSAGE++":[131],"excels":[132],"vertex":[134],"classification,":[135],"link":[136],"prediction,":[137],"visualization":[139],"tasks,":[140],"surpassing":[141],"existing":[142],"methods":[143],"effectiveness.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}