{"id":"https://openalex.org/W4285233080","doi":"https://doi.org/10.1109/access.2022.3175981","title":"A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction","display_name":"A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285233080","doi":"https://doi.org/10.1109/access.2022.3175981"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3175981","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3175981","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09777697.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/ielx7/6287639/6514899/09777697.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059834078","display_name":"Joakim Skarding","orcid":"https://orcid.org/0000-0001-8509-658X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Joakim Skarding","raw_affiliation_strings":["Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054417494","display_name":"Matthew Hellmich","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Matthew Hellmich","raw_affiliation_strings":["Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083181106","display_name":"Bogdan Gabry\u015b","orcid":"https://orcid.org/0000-0002-0790-2846"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bogdan Gabrys","raw_affiliation_strings":["Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051832847","display_name":"Katarzyna Musia\u0142","orcid":"https://orcid.org/0000-0001-6038-7647"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Katarzyna Musial","raw_affiliation_strings":["Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Laboratory, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059834078"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6551,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8621461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"64146","last_page":"64160"},"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":0.9955000281333923,"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":0.9829000234603882,"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":0.8154129981994629},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7115696668624878},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5162239074707031},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5087695717811584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48984119296073914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48542460799217224},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48053985834121704},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4404027462005615},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4108751714229584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33704668283462524},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3181757926940918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2206542193889618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8154129981994629},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7115696668624878},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5162239074707031},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5087695717811584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48984119296073914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48542460799217224},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48053985834121704},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4404027462005615},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4108751714229584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33704668283462524},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3181757926940918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2206542193889618},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3175981","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3175981","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09777697.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:947117e05ddd4409aee7c0f5f5042d39","is_oa":true,"landing_page_url":"https://doaj.org/article/947117e05ddd4409aee7c0f5f5042d39","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 64146-64160 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3175981","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3175981","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09777697.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/G1994348273","display_name":null,"funder_award_id":"DP190101087","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G611870384","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7642628770","display_name":null,"funder_award_id":"DP19010108","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285233080.pdf","grobid_xml":"https://content.openalex.org/works/W4285233080.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1482500327","https://openalex.org/W1689711448","https://openalex.org/W1733902306","https://openalex.org/W1937334562","https://openalex.org/W2027001671","https://openalex.org/W2091019377","https://openalex.org/W2154454189","https://openalex.org/W2559655401","https://openalex.org/W2564084673","https://openalex.org/W2565330852","https://openalex.org/W2613409207","https://openalex.org/W2742491462","https://openalex.org/W2770330884","https://openalex.org/W2907492528","https://openalex.org/W2944196828","https://openalex.org/W2963241486","https://openalex.org/W2963636167","https://openalex.org/W2965683718","https://openalex.org/W2981405661","https://openalex.org/W2998116985","https://openalex.org/W2998313947","https://openalex.org/W2998878641","https://openalex.org/W3024560045","https://openalex.org/W3026076535","https://openalex.org/W3037819556","https://openalex.org/W3045255111","https://openalex.org/W3134757439","https://openalex.org/W3152893301","https://openalex.org/W3204508881","https://openalex.org/W3210361503","https://openalex.org/W4232932184","https://openalex.org/W4236153927","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6739733045","https://openalex.org/W6748856961","https://openalex.org/W6757831817","https://openalex.org/W6760045743","https://openalex.org/W6761296881","https://openalex.org/W6765602453","https://openalex.org/W6771247989","https://openalex.org/W6771625333","https://openalex.org/W6774097426","https://openalex.org/W6776137863","https://openalex.org/W6776488958","https://openalex.org/W6779860234","https://openalex.org/W6784568508","https://openalex.org/W6802813392","https://openalex.org/W6803546774"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W2130974462","https://openalex.org/W1690653314"],"abstract_inverted_index":{"Graph":[0],"neural":[1,32,140],"networks":[2,33,161],"(GNNs)":[3],"are":[4,44],"rapidly":[5],"becoming":[6],"the":[7,92,101],"dominant":[8],"way":[9],"to":[10,47],"learn":[11],"on":[12,91],"graphstructured":[13],"data.":[14],"Link":[15],"prediction":[16,83,95,119],"is":[17,150],"a":[18,76,151,157,175],"near-universal":[19],"benchmark":[20],"for":[21],"new":[22],"GNN":[23],"models.":[24],"Many":[25],"advanced":[26],"models":[27,57],"such":[28],"as":[29],"Dynamic":[30],"graph":[31,139],"(DGNNs)":[34],"specifically":[35],"target":[36],"dynamic":[37,93,160],"graphs.":[38],"However,":[39],"these":[40],"models,":[41],"particularly":[42],"DGNNs,":[43,87,127],"rarely":[45],"compared":[46],"each":[48],"other":[49],"or":[50],"existing":[51],"heuristics.":[52],"Different":[53],"works":[54],"evaluate":[55],"their":[56,68],"in":[58],"different":[59,128],"ways,":[60],"thus":[61],"one":[62],"cannot":[63],"compare":[64,81],"evaluation":[65],"metrics":[66],"and":[67,88,126,135,162,177],"results":[69,102],"directly.":[70],"Motivated":[71],"by":[72],"this,":[73],"we":[74,99,172],"perform":[75,122],"comprehensive":[77],"comparison":[78,179],"study.":[79],"We":[80,114],"link":[82,94,118],"heuristics,":[84],"GNNs,":[85],"discrete":[86],"continuous":[89],"DGNNs":[90,143],"task.":[96],"In":[97,167],"total":[98],"summarize":[100],"of":[103,111,136,153,159,165,180],"over":[104],"4500":[105],"experimental":[106],"runs":[107],"(\u2248":[108],"2":[109],"years":[110],"computation":[112],"time).":[113],"find":[115],"that":[116,142],"simple":[117],"heuristics":[120],"often":[121],"better":[123],"than":[124],"GNNs":[125],"sliding":[129],"window":[130],"sizes":[131],"greatly":[132],"affect":[133],"performance,":[134],"all":[137],"examined":[138],"networks,":[141],"consistently":[144],"outperform":[145],"static":[146],"GNNs.":[147],"This":[148],"work":[149],"continuation":[152],"our":[154,170],"previous":[155],"work,":[156],"foundation":[158],"theoretical":[163,176],"review":[164],"DGNNs.":[166,181],"combination":[168],"with":[169],"survey,":[171],"provide":[173],"both":[174],"empirical":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}