{"id":"https://openalex.org/W4416016957","doi":"https://doi.org/10.1145/3746252.3761259","title":"Enhancing Information Diffusion Prediction via Multiple Granularity Hypergraphs and Position-aware Sequence Model","display_name":"Enhancing Information Diffusion Prediction via Multiple Granularity Hypergraphs and Position-aware Sequence Model","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416016957","doi":"https://doi.org/10.1145/3746252.3761259"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761259","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and 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/A5058066658","display_name":"Weiping Jing","orcid":"https://orcid.org/0009-0002-0587-6506"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikai Jing","raw_affiliation_strings":["School of Cybersecurity, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0002-0587-6506","affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089387181","display_name":"Yuchen Wang","orcid":"https://orcid.org/0000-0002-4205-4192"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4205-4192","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056251551","display_name":"Haotong Du","orcid":"https://orcid.org/0000-0001-5094-7241"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotong Du","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5094-7241","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059207568","display_name":"Songxin Wang","orcid":"https://orcid.org/0009-0004-6623-9337"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songxin Wang","raw_affiliation_strings":["School of Information Management and Engineering, Shanghai Universityof Finance and Economics, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-6623-9337","affiliations":[{"raw_affiliation_string":"School of Information Management and Engineering, Shanghai Universityof Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449156","display_name":"Xiaoyu Li","orcid":"https://orcid.org/0000-0002-4925-0540"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Li","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4925-0540","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086236078","display_name":"Chao Gao","orcid":"https://orcid.org/0000-0002-5865-2285"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Gao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5865-2285","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89368992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1239","last_page":"1248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.18809999525547028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.18809999525547028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.17509999871253967,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.1648000031709671,"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/granularity","display_name":"Granularity","score":0.8758000135421753},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.660099983215332},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6183000206947327},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5148000121116638},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4814000129699707},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.44119998812675476},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4323999881744385},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4212999939918518},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.40529999136924744}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8758000135421753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167999744415283},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.660099983215332},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6183000206947327},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5436999797821045},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5148000121116638},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4212999939918518},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.40529999136924744},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3921999931335449},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3682999908924103},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3521000146865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3515999913215637},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C27286358","wikidata":"https://www.wikidata.org/wiki/Q6031027","display_name":"Information cascade","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761259","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2702725129","display_name":null,"funder_award_id":"G2024WD0151, D5000240309","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3924169617","display_name":null,"funder_award_id":"62261136549, 62471403","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1992537918","https://openalex.org/W1996263819","https://openalex.org/W2021314079","https://openalex.org/W2041157860","https://openalex.org/W2061820396","https://openalex.org/W2078939860","https://openalex.org/W2095016473","https://openalex.org/W2171410332","https://openalex.org/W2296752489","https://openalex.org/W2788792565","https://openalex.org/W2907927214","https://openalex.org/W2945053260","https://openalex.org/W2945880697","https://openalex.org/W2963493749","https://openalex.org/W3002293096","https://openalex.org/W3022269570","https://openalex.org/W3028571922","https://openalex.org/W3133932448","https://openalex.org/W3196754906","https://openalex.org/W4226460857","https://openalex.org/W4283807147","https://openalex.org/W4297095252","https://openalex.org/W4384819716","https://openalex.org/W4385567036","https://openalex.org/W4387846713","https://openalex.org/W4387848791","https://openalex.org/W4392397312","https://openalex.org/W4393156497","https://openalex.org/W4398188172","https://openalex.org/W4403220870","https://openalex.org/W4403780649","https://openalex.org/W4405843671","https://openalex.org/W4412825889","https://openalex.org/W4415795824"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,51,111,132,144,150,153,165,171],"rise":[2],"of":[3,17,95,113,118,152,198,204],"social":[4],"media,":[5],"accurately":[6],"predicting":[7],"information":[8,78],"diffusion":[9,63,79],"has":[10],"become":[11],"crucial":[12],"for":[13],"a":[14,45,72,86],"wide":[15],"range":[16],"applications.":[18],"Existing":[19],"methods":[20],"usually":[21],"employ":[22],"sequential":[23],"hypergraphs":[24,84],"to":[25,35,53,76,103,108,163,194],"model":[26,55],"users'":[27],"latent":[28],"interaction":[29],"preferences":[30],"and":[31,49,85,125,159,169,200],"use":[32],"self-attention":[33],"mechanisms":[34,158],"capture":[36],"dependencies":[37],"with":[38],"users.":[39],"However,":[40],"they":[41],"typically":[42],"focus":[43],"on":[44,149,177],"single":[46],"temporal":[47,56,114],"scale":[48],"lack":[50],"ability":[52],"effectively":[54],"influence,":[57,115],"which":[58],"limits":[59],"their":[60],"performance":[61,185],"in":[62,196,202],"prediction":[64,80],"tasks.":[65],"To":[66],"address":[67],"these":[68],"limitations,":[69],"we":[70],"propose":[71],"novel":[73],"method":[74],"(MHPS)":[75],"enhance":[77,110],"via":[81],"multiple":[82],"granularity":[83],"position-aware":[87],"sequence":[88],"model.":[89],"Specifically,":[90],"MHPS":[91,182],"constructs":[92],"hypergraph":[93],"sequences":[94],"different":[96,166],"granularities":[97],"by":[98],"grouping":[99],"user":[100],"interactions":[101],"according":[102],"various":[104],"time":[105],"intervals.":[106],"Additionally,":[107],"further":[109],"modeling":[112],"two":[116],"types":[117],"cross-attention":[119,124,138,147],"mechanisms,":[120],"namely":[121],"next-step":[122,136],"positional":[123,137],"source":[126,145],"influence":[127,146],"cross-attention,":[128],"are":[129,161,192],"introduced":[130],"within":[131],"cascade":[133],"representation.":[134],"The":[135,189],"captures":[139],"target":[140,173],"position":[141],"awareness,":[142],"while":[143],"focuses":[148],"impact":[151],"initial":[154],"source.":[155],"Then,":[156],"gating":[157],"GRUs":[160],"employed":[162],"fuse":[164],"attention":[167],"outputs":[168],"predict":[170],"next":[172],"user.":[174],"Extensive":[175],"experiments":[176],"real-world":[178],"datasets":[179],"demonstrate":[180],"that":[181],"achieves":[183],"competitive":[184],"against":[186],"state-of-the-art":[187],"methods.":[188],"average":[190],"improvements":[191],"up":[193],"7.82%":[195],"terms":[197,203],"Hits@10":[199],"5.60%":[201],"MAP@100.":[205],"Our":[206],"code":[207],"is":[208],"available":[209],"at":[210],"https://github.com/cgao-comp/MHPS.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}