{"id":"https://openalex.org/W3167652394","doi":"https://doi.org/10.1145/3447548.3467337","title":"A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks","display_name":"A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3167652394","doi":"https://doi.org/10.1145/3447548.3467337","mag":"3167652394"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467337","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467337","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467337","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467337","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100708902","display_name":"Peng Han","orcid":"https://orcid.org/0000-0003-1201-2060"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Peng Han","raw_affiliation_strings":["King Abdullah University of Science and Technology, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113414416","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070236880","display_name":"Di Yao","orcid":"https://orcid.org/0000-0003-1778-8319"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Yao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102754146","display_name":"Shuo Shang","orcid":"https://orcid.org/0000-0002-1117-2890"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["King Abdullah University of Science and Technology, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100708902"],"corresponding_institution_ids":["https://openalex.org/I71920554"],"apc_list":null,"apc_paid":null,"fwci":11.5749,"has_fulltext":true,"cited_by_count":117,"citation_normalized_percentile":{"value":0.99097533,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"556","last_page":"564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9843000173568726,"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/trajectory","display_name":"Trajectory","score":0.8189921379089355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.703856885433197},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6906919479370117},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6199942827224731},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5678441524505615},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5465162396430969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49145281314849854},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.46661654114723206},{"id":"https://openalex.org/keywords/spatial-network","display_name":"Spatial network","score":0.46583667397499084},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4381566047668457},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35070669651031494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29648536443710327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2083262801170349},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12910300493240356}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8189921379089355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.703856885433197},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6906919479370117},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6199942827224731},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5678441524505615},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5465162396430969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49145281314849854},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.46661654114723206},{"id":"https://openalex.org/C53471067","wikidata":"https://www.wikidata.org/wiki/Q7574076","display_name":"Spatial network","level":2,"score":0.46583667397499084},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4381566047668457},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35070669651031494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29648536443710327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2083262801170349},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12910300493240356},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3447548.3467337","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467337","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467337","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/670655","is_oa":true,"landing_page_url":"http://hdl.handle.net/10754/670655","pdf_url":"http://hdl.handle.net/10754/670655","source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1145/3447548.3467337","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467337","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467337","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[{"id":"https://openalex.org/G1025052068","display_name":null,"funder_award_id":"62002343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1100817172","display_name":null,"funder_award_id":"619320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4223126646","display_name":null,"funder_award_id":"61932004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4460768019","display_name":null,"funder_award_id":"62032001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4871568363","display_name":null,"funder_award_id":"U2001212, 62032001, 61932004, 62002343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6686603084","display_name":null,"funder_award_id":"U2001212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6688104968","display_name":null,"funder_award_id":"620023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7378834820","display_name":null,"funder_award_id":"URF/1/3756-01-01","funder_id":"https://openalex.org/F4320322320","funder_display_name":"King Abdullah University of Science and Technology"},{"id":"https://openalex.org/G7537086629","display_name":null,"funder_award_id":"6193200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","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"},{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167652394.pdf","grobid_xml":"https://content.openalex.org/works/W3167652394.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1597504361","https://openalex.org/W1626398438","https://openalex.org/W1662382123","https://openalex.org/W1701831467","https://openalex.org/W1864972570","https://openalex.org/W2009752994","https://openalex.org/W2049626361","https://openalex.org/W2099302229","https://openalex.org/W2118371392","https://openalex.org/W2147880780","https://openalex.org/W2153579005","https://openalex.org/W2155295407","https://openalex.org/W2169896292","https://openalex.org/W2299461094","https://openalex.org/W2519887557","https://openalex.org/W2603192734","https://openalex.org/W2604411573","https://openalex.org/W2624431344","https://openalex.org/W2751694342","https://openalex.org/W2783272285","https://openalex.org/W2789485833","https://openalex.org/W2795016801","https://openalex.org/W2798860017","https://openalex.org/W2841091033","https://openalex.org/W2913015533","https://openalex.org/W2950133940","https://openalex.org/W2951169625","https://openalex.org/W2952493731","https://openalex.org/W2962756421","https://openalex.org/W2963214893","https://openalex.org/W2963858333","https://openalex.org/W2964121744","https://openalex.org/W2964311892","https://openalex.org/W2967827612","https://openalex.org/W2994900646","https://openalex.org/W3029721461","https://openalex.org/W3032453802","https://openalex.org/W3034526875","https://openalex.org/W3035308866","https://openalex.org/W3035705826","https://openalex.org/W3116987847","https://openalex.org/W6631190155","https://openalex.org/W6745537798"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W2019538911","https://openalex.org/W2467200550","https://openalex.org/W1996805379","https://openalex.org/W4234584818","https://openalex.org/W2105228010","https://openalex.org/W4389983812","https://openalex.org/W2896183122","https://openalex.org/W4286278056","https://openalex.org/W4390695045"],"abstract_inverted_index":{"Trajectory":[0],"similarity":[1,23],"computation":[2,24],"is":[3,113,141],"an":[4,159],"essential":[5],"operation":[6],"in":[7,49,103,123,167],"many":[8],"applications":[9],"of":[10,21,47,61,68,99],"spatial":[11,26,69,129],"data":[12],"analysis.":[13],"In":[14],"this":[15,72],"paper,":[16],"we":[17,74],"study":[18],"the":[19,29,37,45,58,62,66,92,97,104,109,117,124,128,134,138,154,164,168],"problem":[20],"trajectory":[22,63,110,122,139],"over":[25,127],"network,":[27],"where":[28],"real":[30,176],"distances":[31,118],"between":[32,119],"objects":[33],"are":[34],"reflected":[35],"by":[36,115,143],"network":[38,106,130],"distance.":[39],"Unlike":[40],"previous":[41],"studies":[42],"which":[43],"learn":[44,84],"representation":[46,98,140],"trajectories":[48],"Euclidean":[50],"space,":[51],"it":[52],"requires":[53],"to":[54,89,149,162],"capture":[55,163],"not":[56],"only":[57],"sequence":[59,165],"information":[60,166],"but":[64],"also":[65],"structure":[67],"network.":[70],"To":[71],"end,":[73],"propose":[75],"GTS,":[76],"a":[77,144],"brand":[78],"new":[79],"framework":[80],"that":[81,183],"can":[82],"jointly":[83],"both":[85],"factors":[86],"so":[87],"as":[88,131,133],"accurately":[90],"compute":[91],"similarity.":[93],"It":[94],"first":[95],"learns":[96],"each":[100],"point-of-interest":[101],"(POI)":[102],"road":[105],"along":[107],"with":[108,158],"information.":[111],"This":[112],"realized":[114],"incorporating":[116],"POIs":[120,152],"and":[121],"random":[125],"walk":[126],"well":[132],"loss":[135],"function.":[136],"Then":[137],"learned":[142],"Graph":[145],"Neural":[146],"Network":[147],"model":[148,161,185],"identify":[150],"neighboring":[151],"within":[153],"same":[155],"trajectory,":[156],"together":[157],"LSTM":[160],"trajectory.":[169],"We":[170],"conduct":[171],"comprehensive":[172],"evaluation":[173],"on":[174],"several":[175],"world":[177],"datasets.":[178],"The":[179],"experimental":[180],"results":[181],"demonstrate":[182],"our":[184],"substantially":[186],"outperforms":[187],"all":[188],"existing":[189],"approaches.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":19}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
