{"id":"https://openalex.org/W3093767246","doi":"https://doi.org/10.1145/3340531.3417411","title":"InterNet","display_name":"InterNet","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093767246","doi":"https://doi.org/10.1145/3340531.3417411","mag":"3093767246"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3417411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3417411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041775991","display_name":"Yilian Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yilian Xin","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082430809","display_name":"Dezhuang Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhuang Miao","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108642672","display_name":"Mengxia Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxia Zhu","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768380","display_name":"Cheqing Jin","orcid":"https://orcid.org/0000-0002-9381-9175"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheqing Jin","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101432717","display_name":"Xuesong Lu","orcid":"https://orcid.org/0000-0003-2552-9317"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Lu","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041775991"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.2546,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57646644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3477","last_page":"3480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8523309826850891},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5498714447021484},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5050373673439026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4891982078552246},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45182037353515625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41605061292648315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40786212682724},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10391685366630554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8523309826850891},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5498714447021484},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5050373673439026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4891982078552246},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45182037353515625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41605061292648315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40786212682724},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10391685366630554},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3417411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3417411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G3614761192","display_name":null,"funder_award_id":"U1811264, U1911203","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1972340877","https://openalex.org/W2004353783","https://openalex.org/W2100337289","https://openalex.org/W2158787690","https://openalex.org/W2163089819","https://openalex.org/W2169568254","https://openalex.org/W2468907370","https://openalex.org/W2626778328","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2907162738","https://openalex.org/W2912190528","https://openalex.org/W2952740813","https://openalex.org/W2963358464","https://openalex.org/W2999324038","https://openalex.org/W3103720336"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W3209574120"],"abstract_inverted_index":{"Traffic":[0],"forecasting":[1,21,33],"on":[2,46,85],"the":[3,11,24,28,47,55,58,81,86,92,95,103,113,132,151,155,161,166],"entire":[4],"road":[5,48],"network":[6,49],"is":[7],"challenging":[8],"due":[9],"to":[10,36,66],"non-linear":[12],"temporal":[13,41,104],"dynamics":[14],"and":[15,40,90,123,142],"complex":[16],"spatial":[17,39,96],"correlations.":[18],"Multi-step":[19],"traffic":[20],"further":[22],"increases":[23],"difficulty":[25],"because":[26],"of":[27,43,61,94,99,107,115,160,168],"accumulated":[29],"prediction":[30,162],"errors.":[31],"Existing":[32],"models":[34,157],"attempt":[35],"extract":[37,112],"both":[38],"features":[42,89,98,106,114],"all":[44,108,116],"locations":[45,117],"for":[50],"prediction,":[51],"but":[52],"often":[53],"overlook":[54],"interaction":[56,93],"between":[57],"two":[59],"types":[60],"features,":[62],"which":[63,79,164],"has":[64],"led":[65],"sub-optimal":[67],"performance.":[68],"In":[69],"this":[70,74],"work,":[71],"we":[72,111],"tackle":[73],"problem":[75],"by":[76],"proposing":[77],"InterNet,":[78],"applies":[80],"multi-head":[82,133],"attention":[83,134],"mechanism":[84],"extracted":[87],"spatio-temporal":[88],"enables":[91],"(temporal)":[97],"one":[100],"location":[101],"with":[102],"(spatial)":[105],"locations.":[109],"Moreover,":[110],"using":[118],"a":[119,124],"graph":[120],"convolutional":[121],"layer":[122],"bidirectional":[125],"LSTM":[126],"layer,":[127],"before":[128],"feeding":[129],"them":[130],"into":[131],"layer.":[135],"The":[136],"three":[137],"layers":[138],"are":[139],"seamlessly":[140],"integrated":[141],"thereby":[143],"enable":[144],"end-to-end":[145],"learning.":[146],"Experimental":[147],"results":[148],"show":[149],"that":[150],"InterNet":[152],"model":[153],"outperforms":[154],"state-of-the-art":[156],"in":[158],"terms":[159],"accuracy,":[163],"demonstrates":[165],"potential":[167],"such":[169],"interactions.":[170]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-10-29T00:00:00"}