{"id":"https://openalex.org/W3094566949","doi":"https://doi.org/10.1145/3340531.3412030","title":"Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding","display_name":"Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3094566949","doi":"https://doi.org/10.1145/3340531.3412030","mag":"3094566949"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412030","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/A5012999539","display_name":"Dakshak Keerthi Chandra","orcid":null},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dakshak Keerthi Chandra","raw_affiliation_strings":["Missouri University of Science & Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science & Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036270316","display_name":"Pengyang Wang","orcid":"https://orcid.org/0000-0003-3961-5523"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengyang Wang","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033125526","display_name":"Jennifer L. Leopold","orcid":null},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Leopold","raw_affiliation_strings":["Missouri University of Science & Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science & Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032187620","display_name":"Yanjie Fu","orcid":"https://orcid.org/0000-0002-1767-8024"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjie Fu","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012999539"],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.715625,"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":"615","last_page":"624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9962000250816345,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7262721061706543},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6887094974517822},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6580615639686584},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6549567580223083},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6520553231239319},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5791138410568237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5434253215789795},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5124974250793457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48650091886520386},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4484996199607849},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08772978186607361}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262721061706543},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6887094974517822},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6580615639686584},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6549567580223083},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6520553231239319},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5791138410568237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5434253215789795},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5124974250793457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48650091886520386},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4484996199607849},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08772978186607361},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3412030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412030","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":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1678356000","https://openalex.org/W1888005072","https://openalex.org/W1983334819","https://openalex.org/W1983345514","https://openalex.org/W1988134474","https://openalex.org/W1992323181","https://openalex.org/W2090891622","https://openalex.org/W2091158010","https://openalex.org/W2101626488","https://openalex.org/W2108862644","https://openalex.org/W2115584760","https://openalex.org/W2118152081","https://openalex.org/W2136922672","https://openalex.org/W2139846410","https://openalex.org/W2142537246","https://openalex.org/W2143331230","https://openalex.org/W2149055390","https://openalex.org/W2149620660","https://openalex.org/W2154851992","https://openalex.org/W2160142299","https://openalex.org/W2171590707","https://openalex.org/W2461100794","https://openalex.org/W2736451061","https://openalex.org/W2803304669","https://openalex.org/W2807954821","https://openalex.org/W2962756421","https://openalex.org/W2963758104","https://openalex.org/W2988416191","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4300011764"],"related_works":["https://openalex.org/W4223943233","https://openalex.org/W4312831135","https://openalex.org/W4315777907","https://openalex.org/W3197060662","https://openalex.org/W4221136938","https://openalex.org/W4213225422","https://openalex.org/W2963026686","https://openalex.org/W2908875379","https://openalex.org/W4206762304","https://openalex.org/W2992349715"],"abstract_inverted_index":{"In":[0,43],"the":[1,10,69,74],"last":[2],"decade,":[3],"there":[4],"has":[5],"been":[6,21],"great":[7,26],"progress":[8],"in":[9,23,55],"field":[11],"of":[12,28,63,68,73,106],"machine":[13],"learning":[14,47,112],"and":[15,95,122,129],"deep":[16],"learning.":[17],"These":[18],"models":[19,48,76],"have":[20,32,49],"instrumental":[22],"addressing":[24,56],"a":[25],"number":[27],"problems.":[29],"However,":[30,71],"they":[31,60,91],"struggled":[33],"when":[34,80],"it":[35,81],"comes":[36,82],"to":[37,51,83],"dealing":[38,84],"with":[39,85],"high":[40,86],"dimensional":[41,87],"data.":[42,70],"recent":[44],"years,":[45],"representation":[46],"proven":[50],"be":[52],"quite":[53,78],"efficient":[54],"this":[57],"problem":[58],"as":[59,90],"are":[61,77],"capable":[62],"capturing":[64],"effective":[65],"lower-dimensional":[66],"representations":[67],"most":[72],"existing":[75],"ineffective":[79],"spatiotemporal":[88,104],"data":[89,105],"encapsulate":[92],"complex":[93],"spatial":[94],"temporal":[96],"relationships":[97],"that":[98],"exist":[99],"among":[100],"real-world":[101],"objects.":[102],"High-dimensional":[103],"cities":[107],"represent":[108],"urban":[109],"communities.":[110],"By":[111],"their":[113],"social":[114],"structure":[115],"we":[116],"can":[117],"better":[118],"quantitatively":[119],"depict":[120],"them":[121],"understand":[123],"factors":[124],"influencing":[125],"rapid":[126],"growth,":[127],"expansion,":[128],"changes.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}