{"id":"https://openalex.org/W2623187518","doi":"https://doi.org/10.1145/3132847.3132919","title":"Attributed Network Embedding for Learning in a Dynamic Environment","display_name":"Attributed Network Embedding for Learning in a Dynamic Environment","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2623187518","doi":"https://doi.org/10.1145/3132847.3132919","mag":"2623187518"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.01860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jundong Li","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024582585","display_name":"Harsh Dani","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harsh Dani","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068477431","display_name":"Xia Hu","orcid":"https://orcid.org/0000-0003-2234-3226"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Hu","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029392006","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0003-2697-8093"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["Huawei Research America, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Huawei Research America, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338946","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029588473"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":35.726,"has_fulltext":false,"cited_by_count":375,"citation_normalized_percentile":{"value":0.99753235,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"387","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9973999857902527,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9904999732971191,"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/embedding","display_name":"Embedding","score":0.8253459930419922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7505504488945007},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6474415063858032},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5253833532333374},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5199533700942993},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5044988393783569},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4996457099914551},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.46950316429138184},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46859994530677795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4563617408275604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4515751898288727},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43823572993278503},{"id":"https://openalex.org/keywords/evolving-networks","display_name":"Evolving networks","score":0.4245694875717163},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3518950641155243},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34551018476486206},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1878426969051361},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.18546262383460999},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14233744144439697}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8253459930419922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505504488945007},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6474415063858032},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5253833532333374},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5199533700942993},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5044988393783569},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4996457099914551},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.46950316429138184},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46859994530677795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4563617408275604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4515751898288727},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43823572993278503},{"id":"https://openalex.org/C36647736","wikidata":"https://www.wikidata.org/wiki/Q5418752","display_name":"Evolving networks","level":3,"score":0.4245694875717163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3518950641155243},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34551018476486206},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1878426969051361},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.18546262383460999},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14233744144439697},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3132847.3132919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.01860","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.01860","pdf_url":"https://arxiv.org/pdf/1706.01860","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.01860","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.01860","pdf_url":"https://arxiv.org/pdf/1706.01860","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":[{"id":"https://openalex.org/G8298882864","display_name":null,"funder_award_id":"1614576","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W97594948","https://openalex.org/W658559791","https://openalex.org/W1497435662","https://openalex.org/W1565746575","https://openalex.org/W1670132599","https://openalex.org/W1888005072","https://openalex.org/W1964731129","https://openalex.org/W1966472199","https://openalex.org/W1979584682","https://openalex.org/W1987810983","https://openalex.org/W1994687138","https://openalex.org/W1998029376","https://openalex.org/W2001141328","https://openalex.org/W2020652789","https://openalex.org/W2025266141","https://openalex.org/W2037933327","https://openalex.org/W2050153214","https://openalex.org/W2053186076","https://openalex.org/W2059586807","https://openalex.org/W2062797058","https://openalex.org/W2067825627","https://openalex.org/W2090891622","https://openalex.org/W2100235303","https://openalex.org/W2101108259","https://openalex.org/W2106545428","https://openalex.org/W2111350126","https://openalex.org/W2130354913","https://openalex.org/W2132914434","https://openalex.org/W2138399168","https://openalex.org/W2148847267","https://openalex.org/W2149084727","https://openalex.org/W2154415691","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2159526734","https://openalex.org/W2170337404","https://openalex.org/W2241652765","https://openalex.org/W2242161203","https://openalex.org/W2393319904","https://openalex.org/W2399091303","https://openalex.org/W2405761224","https://openalex.org/W2507561135","https://openalex.org/W2524453101","https://openalex.org/W2533635416","https://openalex.org/W2568342123","https://openalex.org/W2583302591","https://openalex.org/W2583803680","https://openalex.org/W2585965531","https://openalex.org/W2605037544","https://openalex.org/W2622489478","https://openalex.org/W2623447776","https://openalex.org/W2739802477","https://openalex.org/W2740161049","https://openalex.org/W2741114205","https://openalex.org/W2744080778","https://openalex.org/W2746510925","https://openalex.org/W2950887465","https://openalex.org/W2962756421","https://openalex.org/W2962779748","https://openalex.org/W2963312446","https://openalex.org/W3100330855","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4245321096","https://openalex.org/W4297571622","https://openalex.org/W4312258136"],"related_works":["https://openalex.org/W2069842305","https://openalex.org/W2346969404","https://openalex.org/W2950423166","https://openalex.org/W2099584950","https://openalex.org/W3208695011","https://openalex.org/W2979065949","https://openalex.org/W2048674166","https://openalex.org/W2963105603","https://openalex.org/W2061553066","https://openalex.org/W4298345666"],"abstract_inverted_index":{"Network":[0],"embedding":[1,118,183,213,228,242],"leverages":[2,231],"the":[3,18,42,49,96,103,144,151,156,182,196,237,240,261,266],"node":[4,11,16,30,85,161],"proximity":[5],"manifested":[6],"to":[7,114,120,146,174,186,193,195,235,259],"learn":[8],"a":[9,72,81,135,170,208,226],"low-dimensional":[10],"vector":[12],"representation":[13,119,173],"for":[14,132,225],"each":[15],"in":[17,48,57,134,189,244],"network.":[19],"The":[20],"learned":[21],"embeddings":[22],"could":[23,163],"advance":[24],"various":[25],"learning":[26,133,184],"tasks":[27],"such":[28],"as":[29],"classification,":[31],"network":[32,59,122,159,212],"clustering,":[33],"and":[34,53,69,87,102,123,160,166,179,229,255,263],"link":[35],"prediction.":[36],"Most,":[37],"if":[38],"not":[39],"all,":[40],"of":[41,51,67,75,84,98,105,129,239,265],"existing":[43],"works,":[44],"are":[45,78,91,143],"overwhelmingly":[46],"performed":[47,188],"context":[50],"plain":[52],"static":[54],"networks.":[55],"Nonetheless,":[56],"reality,":[58],"structure":[60],"often":[61],"evolves":[62],"over":[63],"time":[64],"with":[65,80,95,150],"addition/deletion":[66],"links":[68],"nodes.":[70],"Also,":[71],"vast":[73],"majority":[74],"real-world":[76],"networks":[77,258],"associated":[79],"rich":[82],"set":[83],"attributes,":[86],"their":[88,176],"attribute":[89,124],"values":[90],"also":[92],"naturally":[93],"changing,":[94],"emerging":[97],"new":[99],"content":[100,107],"patterns":[101],"fading":[104],"old":[106],"patterns.":[108],"These":[109],"changing":[110],"characteristics":[111],"motivate":[112],"us":[113],"seek":[115],"an":[116,190,222,245],"effective":[117],"capture":[121,175],"evolving":[125],"patterns,":[126],"which":[127],"is":[128],"fundamental":[130],"importance":[131],"dynamic":[136,210],"environment.":[137],"To":[138],"our":[139],"best":[140],"knowledge,":[141],"we":[142,202],"first":[145,220],"tackle":[147,203],"this":[148,200,204],"problem":[149,205],"following":[152],"two":[153],"challenges:":[154],"(1)":[155],"inherently":[157],"correlated":[158],"attributes":[162],"be":[164,187],"noisy":[165],"incomplete,":[167],"it":[168],"necessitates":[169],"robust":[171],"consensus":[172,227],"individual":[177],"properties":[178],"correlations;":[180],"(2)":[181],"needs":[185],"online":[191,246],"fashion":[192],"adapt":[194],"changes":[197],"accordingly.":[198],"In":[199,217],"paper,":[201],"by":[206],"proposing":[207],"novel":[209],"attributed":[211,257],"framework":[214],"-":[215],"DANE.":[216],"particular,":[218],"DANE":[219],"provides":[221],"offline":[223],"method":[224],"then":[230],"matrix":[232],"perturbation":[233],"theory":[234],"maintain":[236],"freshness":[238],"end":[241],"results":[243],"manner.":[247],"We":[248],"perform":[249],"extensive":[250],"experiments":[251],"on":[252],"both":[253],"synthetic":[254],"real":[256],"corroborate":[260],"effectiveness":[262],"efficiency":[264],"proposed":[267],"framework.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":41},{"year":2021,"cited_by_count":83},{"year":2020,"cited_by_count":66},{"year":2019,"cited_by_count":60},{"year":2018,"cited_by_count":41},{"year":2017,"cited_by_count":5}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}