{"id":"https://openalex.org/W3156351347","doi":"https://doi.org/10.1145/3442381.3449816","title":"AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph\u2731","display_name":"AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph\u2731","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3156351347","doi":"https://doi.org/10.1145/3442381.3449816","mag":"3156351347"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449816","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449816","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026844462","display_name":"Zheyi Pan","orcid":"https://orcid.org/0000-0002-3420-623X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheyi Pan","raw_affiliation_strings":["Shanghai Jiao Tong University and JD iCity, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University and JD iCity, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026716125","display_name":"Songyu Ke","orcid":"https://orcid.org/0000-0001-7184-8074"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyu Ke","raw_affiliation_strings":["Shanghai Jiao Tong University and JD iCity, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University and JD iCity, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045164115","display_name":"Xiaodu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodu Yang","raw_affiliation_strings":["Southwest Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018828723","display_name":"Yuxuan Liang","orcid":"https://orcid.org/0000-0003-2817-7337"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuxuan Liang","raw_affiliation_strings":["National University of Singapore, China"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, China","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778479","display_name":"Junbo Zhang","orcid":"https://orcid.org/0000-0001-5947-1374"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Zhang","raw_affiliation_strings":["JD iCity and JD Intelligent Cities Research, China"],"affiliations":[{"raw_affiliation_string":"JD iCity and JD Intelligent Cities Research, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["JD iCity and JD Intelligent Cities Research, China"],"affiliations":[{"raw_affiliation_string":"JD iCity and JD Intelligent Cities Research, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5026844462"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":6.0499,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.97160488,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1846","last_page":"1855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9969000220298767,"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/T11106","display_name":"Data Management and Algorithms","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7425923943519592},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6041332483291626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4833228588104248},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4824953079223633},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4711952209472656},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46642762422561646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45928052067756653},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43227076530456543},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.42739975452423096},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4246675968170166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38838058710098267},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3413431644439697},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1014324426651001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425923943519592},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6041332483291626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4833228588104248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4824953079223633},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4711952209472656},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46642762422561646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45928052067756653},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43227076530456543},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.42739975452423096},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4246675968170166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38838058710098267},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3413431644439697},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1014324426651001},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3449816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449816","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449816","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2112738128","https://openalex.org/W2528639018","https://openalex.org/W2903871660","https://openalex.org/W2950817888","https://openalex.org/W2963821229","https://openalex.org/W2964319113","https://openalex.org/W2990436499","https://openalex.org/W2997513934","https://openalex.org/W2997848713","https://openalex.org/W2998436408","https://openalex.org/W3012677429","https://openalex.org/W3012735076","https://openalex.org/W3026400623","https://openalex.org/W3035580605","https://openalex.org/W3080466448","https://openalex.org/W3080911033"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4292070284","https://openalex.org/W4312933959","https://openalex.org/W4391009500","https://openalex.org/W4229080059","https://openalex.org/W4286257253","https://openalex.org/W2916853871"],"abstract_inverted_index":{"Spatio-temporal":[0],"graphs":[1,19,72],"are":[2],"important":[3],"structures":[4],"to":[5,76,86,98,104],"describe":[6],"urban":[7,77],"sensory":[8],"data,":[9],"e.g.,":[10],"traffic":[11,29,78],"speed":[12],"and":[13,31,46,58,95],"air":[14],"quality.":[15],"Predicting":[16],"over":[17],"spatio-temporal":[18,43,71,93,111],"enables":[20],"many":[21,35],"essential":[22],"applications":[23],"in":[24],"intelligent":[25],"cities,":[26],"such":[27],"as":[28],"management":[30],"environment":[32],"analysis.":[33],"Recently,":[34],"deep":[36],"learning":[37],"models":[38],"have":[39],"been":[40],"proposed":[41],"for":[42,70,90],"graph":[44,108],"prediction":[45],"achieved":[47],"significant":[48],"results.":[49],"However,":[50],"designing":[51],"neural":[52,67],"networks":[53],"requires":[54],"rich":[55],"domain":[56],"knowledge":[57],"expert":[59],"efforts.":[60],"To":[61],"this":[62],"end,":[63],"we":[64],"study":[65],"automated":[66],"architecture":[68],"search":[69,88],"with":[73],"the":[74,105],"application":[75],"prediction,":[79],"which":[80],"meets":[81],"two":[82],"challenges:":[83],"1)":[84],"how":[85,97],"define":[87],"space":[89],"capturing":[91],"complex":[92],"correlations;":[94],"2)":[96],"learn":[99],"network":[100],"weight":[101],"parameters":[102],"related":[103],"corresponding":[106],"attributed":[107],"of":[109],"a":[110],"graph.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
