{"id":"https://openalex.org/W4404608621","doi":"https://doi.org/10.1109/tnse.2024.3501378","title":"Physics-Guided Hypergraph Contrastive Learning for Dynamic Hyperedge Prediction","display_name":"Physics-Guided Hypergraph Contrastive Learning for Dynamic Hyperedge Prediction","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4404608621","doi":"https://doi.org/10.1109/tnse.2024.3501378"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2024.3501378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2024.3501378","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-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":null,"display_name":"Zhihui Wang","orcid":"https://orcid.org/0000-0003-2949-8167"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wang","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China","School of Computer Science, Shaanxi Normal University, Xi&#x2032; an, China"],"raw_orcid":"https://orcid.org/0000-0003-2949-8167","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi&#x2032; an, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianrui Chen","orcid":"https://orcid.org/0000-0001-9104-4540"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianrui Chen","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China","School of Computer Science, Shaanxi Normal University, Xi&#x2032; an, China"],"raw_orcid":"https://orcid.org/0000-0001-9104-4540","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi&#x2032; an, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Academy of Artificial Intelligence, College of Mathematics Science, Inner Mongolia Normal University, Huhhot, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"Academy of Artificial Intelligence, College of Mathematics Science, Inner Mongolia Normal University, Huhhot, China","institution_ids":["https://openalex.org/I22046295"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fei Hao","orcid":"https://orcid.org/0000-0001-5288-5523"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hao","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China","School of Computer Science, Shaanxi Normal University, Xi&#x2032; an, China"],"raw_orcid":"https://orcid.org/0000-0001-5288-5523","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi&#x2032; an, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.341,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56427214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":"1","first_page":"433","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9358000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9358000159263611,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9222000241279602,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9143000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7100708484649658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4822740852832794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43234166502952576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41456297039985657},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3743983805179596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3436585068702698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.201640784740448},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.20159119367599487}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7100708484649658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4822740852832794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43234166502952576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41456297039985657},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3743983805179596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3436585068702698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.201640784740448},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.20159119367599487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2024.3501378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2024.3501378","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G5720636480","display_name":null,"funder_award_id":"62273219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071368817","display_name":null,"funder_award_id":"62477029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8975489783","display_name":null,"funder_award_id":"GK202205038","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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":57,"referenced_works":["https://openalex.org/W775167584","https://openalex.org/W2338912252","https://openalex.org/W2782823532","https://openalex.org/W2787887656","https://openalex.org/W2787895813","https://openalex.org/W2789396610","https://openalex.org/W2892880750","https://openalex.org/W2896239789","https://openalex.org/W2899283552","https://openalex.org/W2973526420","https://openalex.org/W2975518194","https://openalex.org/W2977880070","https://openalex.org/W3003235278","https://openalex.org/W3034382003","https://openalex.org/W3037160975","https://openalex.org/W3040558155","https://openalex.org/W3080887330","https://openalex.org/W3093516620","https://openalex.org/W3095746859","https://openalex.org/W3152851547","https://openalex.org/W3177564060","https://openalex.org/W4213419589","https://openalex.org/W4220910672","https://openalex.org/W4221023051","https://openalex.org/W4224318899","https://openalex.org/W4284699072","https://openalex.org/W4285192862","https://openalex.org/W4290877727","https://openalex.org/W4317938320","https://openalex.org/W4367046824","https://openalex.org/W4367185533","https://openalex.org/W4382119297","https://openalex.org/W4382237408","https://openalex.org/W4382239072","https://openalex.org/W4382464116","https://openalex.org/W4384820866","https://openalex.org/W4385076068","https://openalex.org/W4385567578","https://openalex.org/W4387623751","https://openalex.org/W4389429928","https://openalex.org/W4390967218","https://openalex.org/W4391900045","https://openalex.org/W4392384389","https://openalex.org/W4392543831","https://openalex.org/W4393065874","https://openalex.org/W4396757581","https://openalex.org/W4401024767","https://openalex.org/W6726873649","https://openalex.org/W6762490134","https://openalex.org/W6770147432","https://openalex.org/W6779339669","https://openalex.org/W6784694379","https://openalex.org/W6844194202","https://openalex.org/W6845534289","https://openalex.org/W6846342897","https://openalex.org/W6849904387","https://openalex.org/W6853501214"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"With":[0],"the":[1,8,62,69,74,99,127,131,139,150,156,163,167],"increasing":[2],"magnitude":[3],"and":[4,64,95,107,110],"complexity":[5],"of":[6,10,61,98,141,166],"data,":[7],"importance":[9],"higher-order":[11,21,63,94,174],"networks":[12],"is":[13,147],"increasingly":[14],"prominent.":[15],"Dynamic":[16],"hyperedge":[17,40,88],"prediction":[18,41],"reveals":[19],"potential":[20],"patterns":[22],"with":[23,58],"time":[24],"evolution":[25],"in":[26],"networks,":[27],"thus":[28,137],"providing":[29],"beneficial":[30],"insights":[31],"for":[32,86],"decision":[33],"making.":[34],"Nevertheless,":[35],"most":[36],"existing":[37],"neural":[38],"network-based":[39],"models":[42],"are":[43],"limited":[44],"to":[45,101,124,129,153,161],"static":[46],"hypergraphs.":[47],"Furthermore,":[48],"previous":[49],"efforts":[50],"on":[51,171],"hypergraph":[52,70,82,100,104],"contrastive":[53,83,105],"learning":[54,84,106,164],"involve":[55],"augmentation":[56],"strategies,":[57],"insufficient":[59],"consideration":[60],"lower-order":[65,96,116],"views":[66,97],"carried":[67],"by":[68],"itself.":[71],"To":[72],"address":[73],"above":[75],"issues,":[76],"we":[77,91,118],"propose":[78,119],"PCL-HP,":[79],"a":[80,120],"physics-guided":[81,121],"framework":[85],"dynamic":[87,103,173],"prediction.":[89],"Specifically,":[90],"simply":[92],"distinguish":[93],"perform":[102],"obtain":[108],"abstract":[109],"concrete":[111],"feature":[112,135,142],"information,":[113],"respectively.":[114],"For":[115],"views,":[117],"desynchronization":[122],"mechanism":[123],"effectively":[125],"guide":[126],"encoder":[128],"fuse":[130],"physical":[132],"information":[133],"during":[134],"propagation,":[136],"alleviating":[138],"problem":[140],"over-smoothing.":[143],"Additionally,":[144],"residual":[145],"loss":[146,157],"introduced":[148],"into":[149],"optimization":[151],"process":[152],"incrementally":[154],"quantify":[155],"at":[158],"different":[159],"stages":[160],"enhance":[162],"capability":[165],"model.":[168],"Extensive":[169],"experiments":[170],"10":[172],"datasets":[175],"indicate":[176],"that":[177],"PCL-HP":[178],"outperforms":[179],"state-of-the-art":[180],"baselines.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
