{"id":"https://openalex.org/W3132147085","doi":"https://doi.org/10.1109/tc.2021.3057082","title":"Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks","display_name":"Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3132147085","doi":"https://doi.org/10.1109/tc.2021.3057082","mag":"3132147085"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2021.3057082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2021.3057082","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.whiterose.ac.uk/id/eprint/170825/1/tc2021.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100740618","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0001-7422-630X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7422-630X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050796169","display_name":"Renyu Yang","orcid":"https://orcid.org/0000-0001-6334-4925"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Renyu Yang","raw_affiliation_strings":["School of Computing, University of Leeds, Leeds, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6334-4925","affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401045","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0001-6157-0662"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["School of Computing, University of Leeds, Leeds, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6157-0662","affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380463","display_name":"Jianxin Li","orcid":"https://orcid.org/0000-0001-5152-0055"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Li","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5152-0055","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071709543","display_name":"Lifang He","orcid":"https://orcid.org/0000-0001-7810-9071"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifang He","raw_affiliation_strings":["Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7810-9071","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015993565","display_name":"Albert Y. Zomaya","orcid":"https://orcid.org/0000-0002-3090-1059"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Albert Y. Zomaya","raw_affiliation_strings":["University of Sydney, Camperdown, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3090-1059","affiliations":[{"raw_affiliation_string":"University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072670483","display_name":"Rajiv Ranjan","orcid":"https://orcid.org/0000-0002-6610-1328"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rajiv Ranjan","raw_affiliation_strings":["Computing Science and Internet of Things, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Science and Internet of Things, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.117,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98258229,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"71","issue":"3","first_page":"628","last_page":"642"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973999857902527,"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/T12676","display_name":"Machine Learning and ELM","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8149294853210449},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.7581339478492737},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6028288006782532},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5744014978408813},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.4647805690765381},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4520920217037201},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3721682131290436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35462141036987305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149294853210449},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.7581339478492737},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6028288006782532},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5744014978408813},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4647805690765381},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4520920217037201},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3721682131290436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35462141036987305},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tc.2021.3057082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2021.3057082","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Computers","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:170825","is_oa":true,"landing_page_url":"https://orcid.org/0000-0001-6334-4925>,","pdf_url":"https://eprints.whiterose.ac.uk/id/eprint/170825/1/tc2021.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:eprint.ncl.ac.uk:273381","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprint.ncl.ac.uk/fulltext.aspx?url=273381/7630D174-749A-4CE2-BD55-5E85D3534E23.pdf&pub_id=273381","source":{"id":"https://openalex.org/S4306402485","display_name":"Newcastle University ePrints (Newcastle Univesity)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84884186","host_organization_name":"Newcastle University","host_organization_lineage":["https://openalex.org/I84884186"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:eprints.whiterose.ac.uk:170825","is_oa":true,"landing_page_url":"https://orcid.org/0000-0001-6334-4925>,","pdf_url":"https://eprints.whiterose.ac.uk/id/eprint/170825/1/tc2021.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1008913044","display_name":"Sustainable urban power supply through intelligent control and enhanced restoration of AC/DC networks","funder_award_id":"EP/T021985/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2081710534","display_name":"Algorithmic Support for Massive Scale Distributed Systems","funder_award_id":"EP/T01461X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2142201510","display_name":"III: Small: Exploiting the Massive User Generated Utterances for Intent Mining under Scarce Annotations","funder_award_id":"1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2628702916","display_name":"Flood-PREPARED: Predicting Rainfall Events by Physical Analytics of REaltime Data","funder_award_id":"NE/P017134/1","funder_id":"https://openalex.org/F4320334631","funder_display_name":"Natural Environment Research Council"},{"id":"https://openalex.org/G3118254216","display_name":"III: Medium: Collaborative Research: An Extensible Heterogeneous Network Embedding Framework with Application Specific Adaptation","funder_award_id":"1763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3351005509","display_name":null,"funder_award_id":"III\u20101763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4537582722","display_name":null,"funder_award_id":"EP/T01461X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4682916240","display_name":null,"funder_award_id":"U20B2053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4764802330","display_name":null,"funder_award_id":"NE/P017134/1","funder_id":"https://openalex.org/F4320320022","funder_display_name":"Sight Research UK"},{"id":"https://openalex.org/G4815838450","display_name":null,"funder_award_id":"III-1763325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G486159857","display_name":null,"funder_award_id":"62002007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G544703200","display_name":null,"funder_award_id":"III-1909323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760191728","display_name":null,"funder_award_id":"EP/W003325/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5827000574","display_name":null,"funder_award_id":"N00014-18-1-2009","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5983444534","display_name":null,"funder_award_id":"EP/R033293/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G649362005","display_name":null,"funder_award_id":"SKLSDE-2020ZX-12","funder_id":"https://openalex.org/F4320326978","funder_display_name":"State Key Laboratory of Software Development Environment"},{"id":"https://openalex.org/G6766057187","display_name":null,"funder_award_id":"N00014-18-1-2009","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6864186609","display_name":null,"funder_award_id":"EP/R033439/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6898366254","display_name":null,"funder_award_id":"SaTC-1930941","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G774827757","display_name":null,"funder_award_id":"SaTC\u20101930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7817793019","display_name":null,"funder_award_id":"III-1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8197357335","display_name":null,"funder_award_id":"NE/P017134/1","funder_id":"https://openalex.org/F4320334631","funder_display_name":"Natural Environment Research Council"},{"id":"https://openalex.org/G8198927548","display_name":null,"funder_award_id":"20310101D","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8548265125","display_name":"A Unified Framework for Resource Management in Edge-Cloud Data Centres","funder_award_id":"DP200103494","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G979281235","display_name":"SaTC: CORE: Small: Collaborative: Learning Dynamic and Robust Defenses Against Co-Adaptive Spammers","funder_award_id":"1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320022","display_name":"Sight Research UK","ror":"https://ror.org/03z2py885"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326978","display_name":"State Key Laboratory of Software Development Environment","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334631","display_name":"Natural Environment Research Council","ror":"https://ror.org/02b5d8509"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3132147085.pdf","grobid_xml":"https://content.openalex.org/works/W3132147085.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1485041102","https://openalex.org/W1869723204","https://openalex.org/W1888005072","https://openalex.org/W2022322548","https://openalex.org/W2024607148","https://openalex.org/W2053913299","https://openalex.org/W2069323107","https://openalex.org/W2090891622","https://openalex.org/W2116341502","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2156483112","https://openalex.org/W2160365857","https://openalex.org/W2251264718","https://openalex.org/W2393319904","https://openalex.org/W2546915671","https://openalex.org/W2624431344","https://openalex.org/W2739865319","https://openalex.org/W2743104969","https://openalex.org/W2756795579","https://openalex.org/W2767774008","https://openalex.org/W2787927827","https://openalex.org/W2790197930","https://openalex.org/W2792485195","https://openalex.org/W2798918712","https://openalex.org/W2804558096","https://openalex.org/W2808087697","https://openalex.org/W2808908091","https://openalex.org/W2906831717","https://openalex.org/W2907492528","https://openalex.org/W2954691982","https://openalex.org/W2962711740","https://openalex.org/W2962756421","https://openalex.org/W2963919031","https://openalex.org/W2966779056","https://openalex.org/W2984834462","https://openalex.org/W2995590401","https://openalex.org/W2995837271","https://openalex.org/W2998313947","https://openalex.org/W3015285715","https://openalex.org/W3017733550","https://openalex.org/W3022945404","https://openalex.org/W3023480082","https://openalex.org/W3034616515","https://openalex.org/W3089441464","https://openalex.org/W3099825604","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953","https://openalex.org/W4210257598","https://openalex.org/W6728759510","https://openalex.org/W6738964360","https://openalex.org/W6748660260","https://openalex.org/W6754929296"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2057568687","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147"],"abstract_inverted_index":{"Understanding":[0],"the":[1,29,62,90,129,145,171,190,202,217,231,299,307,334,343,346],"interconnected":[2],"relationships":[3,147],"of":[4,13,28,41,81,92,233,241,345],"large-scale":[5,177,280],"information":[6,112,182],"networks":[7,15,31,74],"like":[8,20],"social,":[9],"scholar":[10],"and":[11,22,35,43,45,53,95,110,125,238,253,274,306],"Internet":[12],"Things":[14],"is":[16],"vital":[17],"for":[18,107,175,184,216,288,321],"tasks":[19],"recommendation":[21],"fraud":[23],"detection.":[24],"The":[25,51],"vast":[26],"majority":[27],"real-world":[30],"are":[32,68],"inherently":[33],"heterogeneous":[34,111],"dynamic,":[36],"containing":[37],"many":[38,163],"different":[39],"types":[40],"nodes":[42,150,154],"edges":[44],"can":[46,226,332],"change":[47],"drastically":[48],"over":[49,128,303,310],"time.":[50],"dynamicity":[52],"heterogeneity":[54,91],"make":[55],"it":[56,264],"extremely":[57],"challenging":[58],"to":[59,88,115,138,151,200,246,251,256,265,339],"reason":[60],"about":[61],"network":[63,93,118,141,149,193,290,314,348],"structure.":[64],"Unfortunately,":[65],"existing":[66],"approaches":[67,287],"inadequate":[69],"in":[70,158,205],"modeling":[71,108],"real-life":[72],"dynamical":[73],"as":[75],"they":[76,96],"either":[77],"have":[78],"strong":[79],"assumption":[80],"a":[82,104,136,206,239,248,257],"given":[83],"stochastic":[84],"process":[85],"or":[86],"fail":[87],"capture":[89],"structure,":[94,237],"all":[97],"require":[98],"extensive":[99,293],"computational":[100,126],"resources.":[101],"We":[102,210,261,282,325],"introduceLime,":[103],"better":[105],"approach":[106,168,225],"dynamic":[109],"networks.Limeis":[113],"designed":[114,197],"extract":[116],"high-quality":[117],"representation":[119,315],"with":[120,155,195,230],"significantly":[121,169],"lower":[122],"memory":[123,173,186,300],"resources":[124],"time":[127,309,336],"state-of-the-arts.":[130],"Unlike":[131],"prior":[132,285],"work":[133],"that":[134,327],"uses":[135],"vector":[137],"encode":[139,152],"each":[140],"node,":[142],"we":[143,188],"exploit":[144],"semantic":[146],"among":[148],"multiple":[153],"similar":[156],"semantics":[157,204],"shared":[159],"vectors.":[160],"By":[161],"using":[162],"fewer":[164],"node":[165,203,270,272],"vectors,":[166],"our":[167,235,328],"reduces":[170,298],"required":[172],"space":[174],"encoding":[176],"networks.":[178],"To":[179],"effectively":[180],"trade":[181],"sharing":[183],"reduced":[185],"footprint,":[187],"employ":[189],"recursive":[191],"neural":[192],"(RsNN)":[194],"carefully":[196],"optimization":[198,243],"strategies":[199],"explore":[201],"novel":[207,242],"cuboid":[208,236],"space.":[209],"then":[211],"go":[212],"further":[213],"by":[214,302,337],"showing,":[215],"first":[218],"time,":[219],"how":[220],"an":[221],"effective":[222],"incremental":[223,329],"learning":[224,249,289,313,330,335],"be":[227],"developed":[228],"\u2013":[229,245],"help":[232],"RsNN,":[234],"set":[240],"techniques":[244],"allow":[247],"framework":[250],"quickly":[252],"efficiently":[254],"adapt":[255],"constantly":[258],"evolving":[259],"network.":[260],"evaluateLimeby":[262],"applying":[263],"three":[266,279],"representative":[267],"network-based":[268],"tasks,":[269],"classification,":[271],"clustering":[273],"anomaly":[275],"detection,":[276],"performing":[277],"on":[278],"datasets.":[281],"compareLimeagainst":[283],"eleven":[284],"state-of-the-art":[286],"representation.":[291,349],"Our":[292],"experiments":[294],"demonstrate":[295],"thatLimenot":[296],"only":[297],"footprint":[301],"80":[304],"percent":[305],"processing":[308,323],"2x":[311],"when":[312],"but":[316],"also":[317],"delivers":[318],"comparable":[319],"performance":[320],"downstream":[322],"tasks.":[324],"show":[326],"method":[331],"boost":[333],"up":[338],"20x":[340],"without":[341],"compromising":[342],"quality":[344],"learned":[347]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":22}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}