{"id":"https://openalex.org/W2966382042","doi":"https://doi.org/10.24963/ijcai.2019/531","title":"Hierarchical Diffusion Attention Network","display_name":"Hierarchical Diffusion Attention Network","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966382042","doi":"https://doi.org/10.24963/ijcai.2019/531","mag":"2966382042"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/531","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/531","pdf_url":"https://www.ijcai.org/proceedings/2019/0531.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0531.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100682838","display_name":"Zhitao Wang","orcid":"https://orcid.org/0000-0002-8552-3657"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zhitao Wang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408983","display_name":"Wenjie Li","orcid":"https://orcid.org/0000-0002-7360-8864"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100682838"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":2.1612,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88128672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3828","last_page":"3834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.996999979019165,"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/T11309","display_name":"Music and Audio Processing","score":0.9825000166893005,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9803000092506409,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8183445930480957},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7763849496841431},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6824691295623779},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.666321873664856},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.598385751247406},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5171939134597778},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.502631664276123},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45803239941596985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4327995181083679},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.41632080078125},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41382110118865967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3911697268486023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26746195554733276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07567799091339111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8183445930480957},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7763849496841431},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6824691295623779},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.666321873664856},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.598385751247406},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5171939134597778},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.502631664276123},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45803239941596985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4327995181083679},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.41632080078125},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41382110118865967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3911697268486023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26746195554733276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07567799091339111},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2019/531","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/531","pdf_url":"https://www.ijcai.org/proceedings/2019/0531.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/105570","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/105570","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/105570/1/0531.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/531","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/531","pdf_url":"https://www.ijcai.org/proceedings/2019/0531.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1372504386","display_name":null,"funder_award_id":"61672445","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/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966382042.pdf","grobid_xml":"https://content.openalex.org/works/W2966382042.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1572431862","https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2127492100","https://openalex.org/W2133564696","https://openalex.org/W2164900957","https://openalex.org/W2296752489","https://openalex.org/W2406281999","https://openalex.org/W2509830164","https://openalex.org/W2597655663","https://openalex.org/W2740189214","https://openalex.org/W2963493749","https://openalex.org/W2964121744","https://openalex.org/W2964189376","https://openalex.org/W2964308564","https://openalex.org/W3004555699","https://openalex.org/W3098684887","https://openalex.org/W4232212779","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W4288558800","https://openalex.org/W2953770453","https://openalex.org/W3127504686","https://openalex.org/W2894378449","https://openalex.org/W2787518671"],"abstract_inverted_index":{"A":[0],"series":[1],"of":[2,41,125],"recent":[3],"studies":[4,143],"formulated":[5],"the":[6,38,68,85,90],"diffusion":[7,31,51,65,138,150],"prediction":[8,13],"problem":[9],"as":[10],"a":[11,49,57,71,95],"sequence":[12],"task":[14],"and":[15,60,83,116,123],"proposed":[16,76],"several":[17],"sequential":[18,39,129],"models":[19,130],"based":[20],"on":[21,107,135],"recurrent":[22],"neural":[23],"networks.":[24],"However,":[25],"non-sequential":[26,58],"properties":[27],"exist":[28],"in":[29],"real":[30,137],"cascades,":[32],"which":[33,55],"do":[34],"not":[35],"strictly":[36],"follow":[37],"assumptions":[40],"previous":[42],"work.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"hierarchical":[50],"attention":[52,62,73,98],"network":[53],"(HiDAN),":[54],"adopts":[56],"framework":[59],"two-level":[61],"mechanisms,":[63],"for":[64],"prediction.":[66],"At":[67,89],"user":[69,87,114],"level,":[70,94],"dependency":[72],"mechanism":[74],"is":[75,99],"to":[77,101],"dynamically":[78],"capture":[79,149],"historical":[80,108],"user-to-user":[81],"dependencies":[82,106],"extract":[84],"dependency-aware":[86],"information.":[88],"cascade":[91],"(i.e.,":[92],"sequence)":[93],"time-aware":[96],"influence":[97],"designed":[100],"infer":[102],"possible":[103],"future":[104],"user's":[105],"users":[109],"by":[110],"considering":[111],"both":[112],"inherent":[113],"importance":[115],"time":[117],"decay":[118],"effects.":[119],"Significantly":[120],"higher":[121],"effectiveness":[122],"efficiency":[124],"HiDAN":[126,146],"over":[127],"state-of-the-art":[128],"are":[131],"demonstrated":[132],"when":[133],"evaluated":[134],"three":[136],"datasets.":[139],"The":[140],"further":[141],"case":[142],"illustrate":[144],"that":[145],"can":[147],"accurately":[148],"dependencies.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
