{"id":"https://openalex.org/W7167516867","doi":"https://doi.org/10.1007/s44443-026-00695-6","title":"DSId: Predicting information propagation in hybrid dynamic neural ODEs and static features within hypercurved spaces","display_name":"DSId: Predicting information propagation in hybrid dynamic neural ODEs and static features within hypercurved spaces","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7167516867","doi":"https://doi.org/10.1007/s44443-026-00695-6"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-026-00695-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00695-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-026-00695-6.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44443-026-00695-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140149489","display_name":"Zhengmi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengmi Li","raw_affiliation_strings":["School of Science, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115589949","display_name":"Tao Wu","orcid":"https://orcid.org/0009-0007-7864-6695"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wu","raw_affiliation_strings":["School of Science, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071690552","display_name":"Yuqing Sun","orcid":"https://orcid.org/0000-0003-0493-4559"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Sun","raw_affiliation_strings":["School of Science, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343973","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0001-8297-9088"},"institutions":[{"id":"https://openalex.org/I4210157581","display_name":"Jiangsu Police Officer College","ror":"https://ror.org/04k1m2t10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Liu","raw_affiliation_strings":["Faculty of Information and Network Security, Yunnan Police College, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information and Network Security, Yunnan Police College, Kunming, China","institution_ids":["https://openalex.org/I4210157581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014667490","display_name":"Z Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijian Zhang","raw_affiliation_strings":["School of Science, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140153855","display_name":"Lin Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Jiang","raw_affiliation_strings":["School of Science, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014667490"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90021573,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.39910000562667847,"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":0.39910000562667847,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.19359999895095825,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.10589999705553055,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6312000155448914},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5953999757766724},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5117999911308289},{"id":"https://openalex.org/keywords/ode","display_name":"Ode","score":0.44279998540878296},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.43160000443458557},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4058000147342682},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.40290001034736633},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.38350000977516174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098000049591064},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6312000155448914},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5953999757766724},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4494999945163727},{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4172999858856201},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3984000086784363},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.37439998984336853},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.35569998621940613},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3285999894142151},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.3228999972343445},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-026-00695-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00695-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-026-00695-6.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:89d5e2a0f34d4508bebd7dd239916ae0","is_oa":false,"landing_page_url":"https://doaj.org/article/89d5e2a0f34d4508bebd7dd239916ae0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 5 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-026-00695-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00695-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-026-00695-6.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5854421854019165}],"awards":[{"id":"https://openalex.org/G2571177927","display_name":null,"funder_award_id":"12361065","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/F4320324734","display_name":"Yunnan Provincial Department of Education","ror":"https://ror.org/02yrxdp92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7167516867.pdf","grobid_xml":"https://content.openalex.org/works/W7167516867.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2065996638","https://openalex.org/W2078939860","https://openalex.org/W2127492100","https://openalex.org/W2170513563","https://openalex.org/W2551441958","https://openalex.org/W2604996434","https://openalex.org/W2885687567","https://openalex.org/W2897605361","https://openalex.org/W2907492528","https://openalex.org/W2907927214","https://openalex.org/W2954973878","https://openalex.org/W2963493749","https://openalex.org/W2971779724","https://openalex.org/W3001097027","https://openalex.org/W3002293096","https://openalex.org/W3028571922","https://openalex.org/W3170140111","https://openalex.org/W3196754906","https://openalex.org/W4224247675","https://openalex.org/W4283805364","https://openalex.org/W4320009727","https://openalex.org/W4387846713","https://openalex.org/W4387848791","https://openalex.org/W4390534655","https://openalex.org/W4393156497","https://openalex.org/W4399999760","https://openalex.org/W4409364776","https://openalex.org/W4413213309"],"related_works":[],"abstract_inverted_index":{"Information":[0],"diffusion":[1,134,140,184],"prediction":[2,97],"aims":[3],"to":[4,36,52,116],"infer":[5,43],"potential":[6],"propagation":[7,101,213],"paths":[8,135],"within":[9,166],"social":[10,107],"networks":[11],"based":[12,46],"on":[13,22,47,187],"user":[14,24,111],"relationships":[15],"or":[16],"interest":[17],"preferences.":[18],"Current":[19],"research":[20,203],"centers":[21],"modeling":[23,72,91],"preference":[25,73],"dynamics,":[26],"mainly":[27],"by":[28],"discretizing":[29],"continuous":[30,147,179],"processes":[31,165],"into":[32],"sequential":[33],"temporal":[34,216],"snapshots":[35],"capture":[37],"evolving":[38],"states.":[39],"However,":[40],"such":[41],"methods":[42],"preferences":[44,65],"solely":[45],"localized,":[48],"discrete":[49],"observations,":[50],"failing":[51],"adequately":[53],"account":[54],"for":[55,210],"the":[56,99,192],"intrinsic":[57],"process":[58],"of":[59,98,183],"continuous,":[60],"smooth":[61],"evolution":[62],"inherent":[63],"in":[64],"themselves.":[66],"Consequently,":[67],"they":[68],"exhibit":[69],"limitations":[70],"when":[71],"dynamics.":[74],"To":[75],"this":[76,78,170],"end,":[77],"paper":[79],"proposes":[80],"a":[81,118,128,139,152,167],"D":[82],"ynamic":[83],"S":[84],"tructure-aware":[85],"I":[86],"nformation":[87],"d":[88],"iffusion":[89],"(DSId)":[90],"framework":[92],"aimed":[93],"at":[94],"achieving":[95,197],"high-precision":[96],"information":[100,212],"process.":[102],"This":[103,202],"model":[104,193],"first":[105],"integrates":[106],"relationship":[108],"features":[109,115,124],"with":[110],"content":[112],"static":[113],"interaction":[114],"construct":[117],"heterogeneous":[119],"graph,":[120],"from":[121],"which":[122],"structural":[123,161],"are":[125,136,149],"extracted":[126],"via":[127],"graph":[129],"neural":[130],"network":[131],"(GNN).":[132],"Furthermore,":[133],"modeled":[137],"as":[138],"hypergraph,":[141],"and":[142,163,200,207,214],"their":[143],"evolutionary":[144],"dynamics":[145],"over":[146],"time":[148,180],"characterized":[150],"using":[151],"coupled":[153],"ordinary":[154],"differential":[155],"equations":[156],"(ODEs)":[157],"system.":[158],"By":[159],"coupling":[160],"representation":[162],"dynamic":[164,181],"unified":[168],"framework,":[169],"approach":[171],"effectively":[172],"captures":[173],"latent":[174],"correlations":[175],"among":[176],"users,":[177],"enabling":[178],"inference":[182],"paths.":[185],"Experiments":[186],"real-world":[188],"datasets":[189],"show":[190],"that":[191],"outperforms":[194],"existing":[195],"baselines,":[196],"higher":[198],"accuracy":[199],"robustness.":[201],"provides":[204],"novel":[205],"theoretical":[206],"methodological":[208],"support":[209],"analyzing":[211],"maximizing":[215],"impact.":[217]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-07-07T00:00:00"}
