{"id":"https://openalex.org/W4400417464","doi":"https://doi.org/10.1145/3677020","title":"AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation","display_name":"AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400417464","doi":"https://doi.org/10.1145/3677020"},"language":"en","primary_location":{"id":"doi:10.1145/3677020","doi":"https://doi.org/10.1145/3677020","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677020","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","jufo-3","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"volume":null,"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/A5056695615","display_name":"Chengwu Liao","orcid":"https://orcid.org/0000-0001-5098-4579","observed_orcids":["https://orcid.org/0000-0001-5098-4579"]},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwu Liao","raw_affiliation_strings":["China Unicom, Chongqing, China and Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-5098-4579","affiliations":[{"raw_affiliation_string":"China Unicom, Chongqing, China and Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408399","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0003-2094-9734","observed_orcids":["https://orcid.org/0000-0003-2094-9734","https://orcid.org/0000-0001-8355-9835","https://orcid.org/0009-0005-1512-1352"]},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-2094-9734","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wanyi Zhang","orcid":"https://orcid.org/0009-0007-1480-0163","observed_orcids":["https://orcid.org/0009-0007-1480-0163"]},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyi Zhang","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0007-1480-0163","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065246403","display_name":"Suiming Guo","orcid":"https://orcid.org/0000-0002-6038-8292","observed_orcids":["https://orcid.org/0000-0002-6038-8292"]},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suiming Guo","raw_affiliation_strings":["Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6038-8292","affiliations":[{"raw_affiliation_string":"Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108047487","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0002-4749-5499","observed_orcids":["https://orcid.org/0000-0002-4749-5499"]},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-4749-5499","affiliations":[{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73832233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"18","issue":"8","first_page":"1","last_page":"25"},"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":0.635699987411499,"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":0.635699987411499,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.2667999863624573,"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":0.04529999941587448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/travel-behavior","display_name":"travel behavior","score":0.949999988079071},{"id":"https://openalex.org/keywords/urban-mobility","display_name":"urban mobility","score":0.8700000047683716},{"id":"https://openalex.org/keywords/active-domain-adaptation","display_name":"active domain adaptation","score":0.9309999942779541},{"id":"https://openalex.org/keywords/gps-tracks","display_name":"GPS tracks","score":0.6510000228881836},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.6499999761581421},{"id":"https://openalex.org/keywords/adversarial-domain-adaptation","display_name":"adversarial domain adaptation","score":0.9520000219345093},{"id":"https://openalex.org/keywords/active-learning-machine-learning","display_name":"active learning (machine learning)","score":0.9269999861717224},{"id":"https://openalex.org/keywords/open-data","display_name":"open data","score":0.6269999742507935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559090852737427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5700377821922302},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5358046293258667},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4993100166320801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48526689410209656},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46942001581192017},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.46062272787094116},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43002229928970337},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3229105770587921},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10499635338783264},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677020","doi":"https://doi.org/10.1145/3677020","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677020","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","jufo-3","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9333000183105469,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.651199996471405,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3394549896","display_name":null,"funder_award_id":"62322601, 62172066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W111302912","https://openalex.org/W1982300822","https://openalex.org/W1983447652","https://openalex.org/W2007955235","https://openalex.org/W2009076082","https://openalex.org/W2042661229","https://openalex.org/W2072841881","https://openalex.org/W2114762199","https://openalex.org/W2153740685","https://openalex.org/W2180069062","https://openalex.org/W2518496153","https://openalex.org/W2583120682","https://openalex.org/W2593768305","https://openalex.org/W2607030456","https://openalex.org/W2782078221","https://openalex.org/W2862340573","https://openalex.org/W2898604827","https://openalex.org/W2902668452","https://openalex.org/W2904403013","https://openalex.org/W2911964244","https://openalex.org/W2940156133","https://openalex.org/W2969573262","https://openalex.org/W2994968958","https://openalex.org/W3000200479","https://openalex.org/W3012808657","https://openalex.org/W3094166412","https://openalex.org/W3098208509","https://openalex.org/W3133349961","https://openalex.org/W3134343811","https://openalex.org/W3135779890","https://openalex.org/W3141875739","https://openalex.org/W3157374222","https://openalex.org/W3207571777","https://openalex.org/W3209466920","https://openalex.org/W3210936145","https://openalex.org/W3211214398","https://openalex.org/W4205209477","https://openalex.org/W4237842946","https://openalex.org/W4285189771","https://openalex.org/W4285492263","https://openalex.org/W4287982086","https://openalex.org/W4296208245","https://openalex.org/W4309652284","https://openalex.org/W4310155356","https://openalex.org/W4311057991","https://openalex.org/W4313028138","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4296208245","https://openalex.org/W7154016073","https://openalex.org/W3134009202","https://openalex.org/W4221010246","https://openalex.org/W3207571777","https://openalex.org/W7221803238","https://openalex.org/W2782078221","https://openalex.org/W2952144734","https://openalex.org/W4416570410","https://openalex.org/W3210936145"],"abstract_inverted_index":{"Trip":[0],"purpose":[1,51,228,236],"is":[2,17,53,64,106,184,194],"a":[3,140,157],"meaningful":[4],"aspect":[5],"of":[6,12,59,108,206],"travel":[7],"behaviour":[8],"for":[9],"the":[10,35,46,56,82,125,151,165,188,201,221],"understanding":[11],"urban":[13],"mobility.":[14],"However,":[15],"it":[16,63],"non-trivial":[18],"to":[19,66,75,133,149,159,186,196],"automatically":[20],"obtain":[21],"trip":[22,27,50,135,161,227,235],"purposes.":[23],"On":[24,45],"one":[25],"hand,":[26,48],"purposes":[28],"are":[29,40,61,208],"naturally":[30],"diverse":[31],"and":[32,55,92,105,114,129,156,191,215,231],"complicated,":[33],"but":[34],"available":[36],"predictive":[37],"data":[38,70,103],"sources":[39,104],"limited":[41],"in":[42,71,110,118,167,179,200,213,238],"real-world":[43,211],"scenarios.":[44],"other":[47],"since":[49],"labeling":[52,244],"costly":[54],"development":[57],"levels":[58],"cities":[60,74,113,240],"unbalanced,":[62],"infeasible":[65],"access":[67],"large-scale":[68],"labeled":[69],"less":[72],"developed":[73],"train":[76],"advanced":[77],"prediction":[78,166,229,237],"models.":[79],"To":[80,163],"narrow":[81],"gaps,":[83],"this":[84],"article":[85],"presents":[86],"A":[87,204],"new":[88],"Graph":[89],"Embedding":[90],"Network":[91],"active":[93,175,192],"Domain":[94],"Adaptation":[95],"based":[96],"framework":[97,223],"(AGENDA)":[98],"that":[99,220],"only":[100],"requires":[101],"open":[102,130],"capable":[107],"predicting":[109],"both":[111],"label-rich":[112,119],"label-scarce":[115,168,239],"cities.":[116],"Specifically,":[117],"source":[120],"cities,":[121,170],"we":[122,138,171],"first":[123],"use":[124],"vehicle\u2019s":[126],"GPS":[127],"trajectory":[128],"POI":[131],"check-ins":[132],"augment":[134],"contexts.":[136],"Then":[137],"establish":[139],"supervised":[141],"graph":[142],"embedding":[143],"network":[144],"with":[145,210,241],"two":[146],"attention":[147],"mechanisms":[148],"extract":[150],"passenger\u2019s":[152],"latent":[153],"activity":[154],"semantics":[155],"classifier":[158],"predict":[160],"purpose.":[162],"enable":[164],"target":[169],"further":[172],"devise":[173],"an":[174],"domain":[176,182],"adaptation":[177,183],"framework,":[178],"which":[180],"adversarial":[181],"used":[185,195],"transfer":[187],"source-learned":[189],"knowledge,":[190],"learning":[193],"integrate":[197],"human":[198],"intelligence":[199],"model":[202],"training.":[203],"group":[205],"experiments":[207],"conducted":[209],"datasets":[212],"Beijing":[214],"Shanghai.":[216],"Evaluation":[217],"results":[218],"demonstrate":[219],"proposed":[222],"significantly":[224],"outperforms":[225],"existing":[226],"algorithms,":[230],"could":[232],"make":[233],"accurate":[234],"much":[242],"fewer":[243],"efforts.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-07-09T00:00:00"}