{"id":"https://openalex.org/W4404570751","doi":"https://doi.org/10.1145/3774904.3792107","title":"Graph Retention Networks for Dynamic Graphs","display_name":"Graph Retention Networks for Dynamic Graphs","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W4404570751","doi":"https://doi.org/10.1145/3774904.3792107"},"language":"en","primary_location":{"id":"doi:10.1145/3774904.3792107","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3774904.3792107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.11259","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qian Chang","orcid":"https://orcid.org/0009-0001-2768-7581"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]},{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN","NZ"],"is_corresponding":false,"raw_author_name":"Qian Chang","raw_affiliation_strings":["University of Auckland, Auckland, New Zealand and Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-2768-7581","affiliations":[{"raw_affiliation_string":"University of Auckland, Auckland, New Zealand and Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I154130895","https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xia Li","orcid":"https://orcid.org/0000-0001-7766-0072"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7766-0072","affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiufeng Cheng","orcid":"https://orcid.org/0000-0003-2139-2122"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiufeng Cheng","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2139-2122","affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Runsong Jia","orcid":"https://orcid.org/0009-0003-3986-2679"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Runsong Jia","raw_affiliation_strings":["University of Technology Sydney, Sydney, China"],"raw_orcid":"https://orcid.org/0009-0003-3986-2679","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinqing Yang","orcid":"https://orcid.org/0000-0002-2228-2462"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqing Yang","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2228-2462","affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guoping Hu","orcid":"https://orcid.org/0000-0002-4109-9145"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Guoping Hu","raw_affiliation_strings":["University of Auckland, Auckland, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-4109-9145","affiliations":[{"raw_affiliation_string":"University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ciprian Doru Giurcaneanu","orcid":"https://orcid.org/0000-0001-5512-0868"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ciprian Doru Giurcaneanu","raw_affiliation_strings":["University of Auckland, Auckland, New Zealand"],"raw_orcid":"https://orcid.org/0000-0001-5512-0868","affiliations":[{"raw_affiliation_string":"University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"511","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9832000136375427,"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":0.9832000136375427,"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":0.9254999756813049,"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/graph","display_name":"Graph","score":0.514171838760376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4754476249217987},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.37907305359840393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35629594326019287},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2866428792476654}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.514171838760376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4754476249217987},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.37907305359840393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35629594326019287},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2866428792476654}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3774904.3792107","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3774904.3792107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2411.11259","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.11259","pdf_url":"https://arxiv.org/pdf/2411.11259","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arXiv.org:2411.11259","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2411.11259","pdf_url":"https://arxiv.org/pdf/2411.11259","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:researchspace.auckland.ac.nz:2292/75459","is_oa":true,"landing_page_url":"https://hdl.handle.net/2292/75459","pdf_url":null,"source":{"id":"https://openalex.org/S7407055463","display_name":"ResearchSpace (University of Auckland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I154130895","host_organization_name":"University of Auckland","host_organization_lineage":["https://openalex.org/I154130895"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Item"},{"id":"doi:10.48550/arxiv.2411.11259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.11259","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.11259","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.11259","pdf_url":"https://arxiv.org/pdf/2411.11259","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"Graph":[5],"Retention":[6],"Networks":[7],"(GRNs)":[8],"as":[9,30],"a":[10,115],"unified":[11],"architecture":[12,51,102],"for":[13],"deep":[14],"learning":[15],"on":[16,63],"dynamic":[17,27,108],"graphs.":[18],"The":[19,99],"GRN":[20,101],"extends":[21],"the":[22,34],"concept":[23],"of":[24,118],"retention":[25],"into":[26],"graph":[28,31,109],"data":[29],"retention,":[32],"equipping":[33],"model":[35],"with":[36,78],"three":[37],"key":[38],"computational":[39],"paradigms:":[40],"parallelizable":[41],"training,":[42],"low-cost":[43],"$\\mathcal{O}(1)$":[44],"inference,":[45],"and":[46,59,74,87],"long-term":[47],"chunkwise":[48],"training.":[49],"This":[50],"achieves":[52,103],"an":[53],"optimal":[54],"balance":[55],"between":[56],"efficiency,":[57],"effectiveness,":[58],"scalability.":[60],"Extensive":[61],"experiments":[62],"benchmark":[64],"datasets":[65],"demonstrate":[66],"its":[67,112],"strong":[68],"performance":[69,105],"in":[70],"both":[71],"edge-level":[72],"prediction":[73],"node-level":[75],"classification":[76],"tasks":[77],"significantly":[79],"reduced":[80],"training":[81],"latency,":[82],"lower":[83],"GPU":[84],"memory":[85],"overhead,":[86],"improved":[88],"inference":[89],"throughput":[90],"by":[91],"up":[92],"to":[93,96,114],"86.7x":[94],"compared":[95],"SOTA":[97],"baselines.":[98],"proposed":[100],"competitive":[104],"across":[106],"diverse":[107],"benchmarks,":[110],"demonstrating":[111],"adaptability":[113],"wide":[116],"range":[117],"tasks.":[119]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2024-11-21T00:00:00"}
