{"id":"https://openalex.org/W4400949864","doi":"https://doi.org/10.1145/3677019","title":"Mobility Prediction via Rule-enhanced Knowledge Graph","display_name":"Mobility Prediction via Rule-enhanced Knowledge Graph","publication_year":2024,"publication_date":"2024-07-24","ids":{"openalex":"https://openalex.org/W4400949864","doi":"https://doi.org/10.1145/3677019"},"language":"en","primary_location":{"id":"doi:10.1145/3677019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677019","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3677019","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111267470","display_name":"Qiaohong Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiaohong Yu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-3664-4248","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034129532","display_name":"Huandong Wang","orcid":"https://orcid.org/0000-0002-6382-0861"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huandong Wang","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6382-0861","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004545610","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-2399-2829"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2399-2829","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044100655","display_name":"Depeng Jin","orcid":"https://orcid.org/0000-0003-0419-5514"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Depeng Jin","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0419-5514","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101844267","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0003-4599-1576"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, China Mobile Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4599-1576","affiliations":[{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, China Mobile Research, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079750750","display_name":"Junlan Feng","orcid":"https://orcid.org/0000-0001-5292-2945"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlan Feng","raw_affiliation_strings":["Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, China Mobile Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5292-2945","affiliations":[{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, China Mobile Research, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5111267470"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.4706,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88268042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"18","issue":"9","first_page":"1","last_page":"21"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9937999844551086,"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/T11106","display_name":"Data Management and Algorithms","score":0.9908999800682068,"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":0.8175472021102905},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7642885446548462},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6771688461303711},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.5549955368041992},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5300659537315369},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5193811058998108},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5146158933639526},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44505321979522705},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4375104010105133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4107380509376526},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4053990840911865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.378760427236557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8175472021102905},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7642885446548462},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6771688461303711},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.5549955368041992},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5300659537315369},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5193811058998108},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5146158933639526},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44505321979522705},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4375104010105133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4107380509376526},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4053990840911865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.378760427236557},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677019","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"id":"doi:10.1145/3677019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677019","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4211688604","display_name":null,"funder_award_id":"62171260, 62272260, and U21B2036","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400949864.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1426956448","https://openalex.org/W1533230146","https://openalex.org/W1972243012","https://openalex.org/W1982300822","https://openalex.org/W2036785686","https://openalex.org/W2071702404","https://openalex.org/W2126194848","https://openalex.org/W2385600359","https://openalex.org/W2407673450","https://openalex.org/W2539781657","https://openalex.org/W2585077751","https://openalex.org/W2741267865","https://openalex.org/W2795027053","https://openalex.org/W2890410208","https://openalex.org/W2893775232","https://openalex.org/W2950393809","https://openalex.org/W2996371683","https://openalex.org/W2997932512","https://openalex.org/W2998167534","https://openalex.org/W2998385486","https://openalex.org/W2998528434","https://openalex.org/W2998640320","https://openalex.org/W2998831532","https://openalex.org/W3012529204","https://openalex.org/W3081189998","https://openalex.org/W3088611441","https://openalex.org/W3090846500","https://openalex.org/W3102466832","https://openalex.org/W3120491054","https://openalex.org/W3128267727","https://openalex.org/W3164797320","https://openalex.org/W3208368897","https://openalex.org/W3211468413","https://openalex.org/W4284668299","https://openalex.org/W4288087297","https://openalex.org/W4297963447","https://openalex.org/W4328127395","https://openalex.org/W4382938621","https://openalex.org/W4386913602","https://openalex.org/W4387092532","https://openalex.org/W4390100475"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"With":[0],"the":[1,38,67,72,78,82,94,103,125,136,144,151,162,166,179,186,205],"rapid":[2],"development":[3],"of":[4,24,107,111,129,140,182,188,207],"location":[5],"acquisition":[6],"technologies,":[7],"massive":[8],"mobile":[9],"trajectories":[10],"have":[11],"been":[12],"collected":[13],"and":[14,26,138,177,211],"made":[15],"available":[16,218],"to":[17,36,65,123,135,149,184],"us,":[18],"which":[19,60,101,133,203],"support":[20],"a":[21,44,54,120],"fantastic":[22],"way":[23],"understanding":[25],"modeling":[27],"individuals\u2019":[28],"mobility.":[29],"However,":[30,85],"existing":[31,99],"data-driven":[32],"methods":[33],"either":[34],"fail":[35],"capture":[37,150,172],"long-range":[39],"dependency":[40],"or":[41],"suffer":[42],"from":[43,81],"high":[45],"computational":[46],"cost.":[47],"To":[48],"overcome":[49],"these":[50],"issues,":[51],"we":[52,118],"propose":[53],"knowledge-driven":[55],"framework":[56],"for":[57],"mobility":[58,68,83,88,175,189,200],"prediction,":[59],"leverages":[61],"knowledge":[62],"graphs":[63],"(KG)":[64],"formulate":[66],"prediction":[69,89,201],"task":[70],"into":[71],"KG":[73],"completion":[74],"problem":[75],"through":[76],"integrating":[77],"structured":[79,95],"\u201cknowledge\u201d":[80],"data.":[84],"most":[86],"related":[87],"works":[90],"only":[91],"focus":[92],"on":[93],"information":[96,106,160],"encoded":[97],"in":[98,131,161],"triples,":[100],"ignores":[102],"rich":[104],"semantic":[105,127],"relation":[108,113],"paths":[109,130],"composed":[110],"multiple":[112],"triples.":[114],"In":[115],"this":[116],"article,":[117],"apply":[119],"dedicated":[121],"module":[122],"extract":[124],"supplementary":[126],"structure":[128],"KG,":[132],"contributes":[134],"interpretability":[137],"accuracy":[139,187],"our":[141,169,195],"model.":[142],"Specifically,":[143],"extracted":[145],"rules":[146,210],"are":[147],"applied":[148],"dependencies":[152],"between":[153],"relational":[154],"facts.":[155],"Moreover,":[156],"by":[157],"incorporating":[158],"user":[159,174,212],"entity-relation":[163],"space":[164],"with":[165],"corresponding":[167],"hyperplane,":[168],"method":[170],"could":[171],"diverse":[173],"patterns":[176],"model":[178,197],"personal":[180],"characteristics":[181],"users":[183],"improve":[185],"prediction.":[190],"Extensive":[191],"evaluations":[192],"illustrate":[193],"that":[194],"proposed":[196],"beats":[198],"state-of-the-art":[199],"algorithms,":[202],"verifies":[204],"superiority":[206],"utilizing":[208],"logical":[209],"hyperplanes.":[213],"Our":[214],"implementation":[215],"code":[216],"is":[217],"at":[219],"https://github.com/tsinghua-fib-lab/RulekG-MobiPre.git":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}