{"id":"https://openalex.org/W4392956330","doi":"https://doi.org/10.1145/3653306","title":"Representative and Back-In-Time Sampling from Real-world Hypergraphs","display_name":"Representative and Back-In-Time Sampling from Real-world Hypergraphs","publication_year":2024,"publication_date":"2024-03-19","ids":{"openalex":"https://openalex.org/W4392956330","doi":"https://doi.org/10.1145/3653306"},"language":"en","primary_location":{"id":"doi:10.1145/3653306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3653306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3653306","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/10.1145/3653306","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007649001","display_name":"Minyoung Choe","orcid":"https://orcid.org/0000-0002-0819-7923"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minyoung Choe","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul, Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0000-0002-0819-7923","affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul, Korea (the Republic of)","institution_ids":["https://openalex.org/I157485424","https://openalex.org/I3130020584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036321139","display_name":"Jaemin Yoo","orcid":"https://orcid.org/0000-0001-7237-5117"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaemin Yoo","raw_affiliation_strings":["School of Electrical Engineering, KAIST, Daejeon Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0000-0001-7237-5117","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST, Daejeon Korea (the Republic of)","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756268","display_name":"Geon Lee","orcid":"https://orcid.org/0000-0001-6339-9758"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Geon Lee","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0000-0001-6339-9758","affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I157485424","https://openalex.org/I3130020584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015693360","display_name":"Woonsung Baek","orcid":"https://orcid.org/0009-0007-6828-6227"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woonsung Baek","raw_affiliation_strings":["School of Electrical Engineering, KAIST, Daejeon Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0009-0007-6828-6227","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST, Daejeon Korea (the Republic of)","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074561505","display_name":"U Kang","orcid":"https://orcid.org/0000-0002-8774-6950"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"U Kang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Seoul National University, Seoul Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0000-0002-8774-6950","affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Seoul National University, Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028609723","display_name":"Kijung Shin","orcid":"https://orcid.org/0000-0002-2872-1526"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijung Shin","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0000-0002-2872-1526","affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I157485424","https://openalex.org/I3130020584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9932,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71670323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"6","first_page":"1","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8434090614318848},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.818919837474823},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6775354743003845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6720446348190308},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5832991003990173},{"id":"https://openalex.org/keywords/crawling","display_name":"Crawling","score":0.5679097175598145},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5110164880752563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48812732100486755},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4517965018749237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26373016834259033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24272257089614868},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.16181862354278564}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8434090614318848},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.818919837474823},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6775354743003845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720446348190308},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5832991003990173},{"id":"https://openalex.org/C100368936","wikidata":"https://www.wikidata.org/wiki/Q1411725","display_name":"Crawling","level":2,"score":0.5679097175598145},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5110164880752563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48812732100486755},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4517965018749237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26373016834259033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24272257089614868},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.16181862354278564},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3653306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3653306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3653306","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"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/235009","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/235009","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"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":"Article"}],"best_oa_location":{"id":"doi:10.1145/3653306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3653306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3653306","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/G1769687045","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G2045962541","display_name":null,"funder_award_id":"2020R1C1C1008296","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2148870006","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320324161","funder_display_name":"Korea Advanced Institute of Science and Technology"},{"id":"https://openalex.org/G5415505637","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7064264939","display_name":null,"funder_award_id":"2019-0-00075","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7285844852","display_name":null,"funder_award_id":"NRF- 2020R1C1C1008296","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324161","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392956330.pdf","grobid_xml":"https://content.openalex.org/works/W4392956330.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W1549390321","https://openalex.org/W1558755690","https://openalex.org/W1588530906","https://openalex.org/W1603920809","https://openalex.org/W1908543963","https://openalex.org/W1932742904","https://openalex.org/W1975414584","https://openalex.org/W2006190688","https://openalex.org/W2037774459","https://openalex.org/W2068888615","https://openalex.org/W2085962141","https://openalex.org/W2096070028","https://openalex.org/W2102260665","https://openalex.org/W2111708605","https://openalex.org/W2127931346","https://openalex.org/W2129575457","https://openalex.org/W2146008005","https://openalex.org/W2147256592","https://openalex.org/W2150587298","https://openalex.org/W2151078464","https://openalex.org/W2151249461","https://openalex.org/W2152710063","https://openalex.org/W2157747946","https://openalex.org/W2163557584","https://openalex.org/W2166660524","https://openalex.org/W2170798597","https://openalex.org/W2171935404","https://openalex.org/W2440288152","https://openalex.org/W2557781680","https://openalex.org/W2606436201","https://openalex.org/W2623293810","https://openalex.org/W2743418339","https://openalex.org/W2767952030","https://openalex.org/W2787887656","https://openalex.org/W2809425754","https://openalex.org/W2892880750","https://openalex.org/W2906694449","https://openalex.org/W2913696439","https://openalex.org/W2945827377","https://openalex.org/W2966720510","https://openalex.org/W2978528226","https://openalex.org/W2995857583","https://openalex.org/W2996788836","https://openalex.org/W3003235278","https://openalex.org/W3032120536","https://openalex.org/W3035648766","https://openalex.org/W3035666843","https://openalex.org/W3047309339","https://openalex.org/W3048971530","https://openalex.org/W3063257891","https://openalex.org/W3091510023","https://openalex.org/W3099517909","https://openalex.org/W3101553402","https://openalex.org/W3101983140","https://openalex.org/W3103282731","https://openalex.org/W3118942110","https://openalex.org/W3128617813","https://openalex.org/W3145119645","https://openalex.org/W3156745039","https://openalex.org/W3200330448","https://openalex.org/W3205506291","https://openalex.org/W4206968925","https://openalex.org/W4213199213","https://openalex.org/W4221157437","https://openalex.org/W4224314061","https://openalex.org/W4226450359","https://openalex.org/W4243349358","https://openalex.org/W4245082111","https://openalex.org/W4248364277","https://openalex.org/W4285166886","https://openalex.org/W4288080130","https://openalex.org/W4318823249","https://openalex.org/W4379539451","https://openalex.org/W4380364502","https://openalex.org/W4381613464","https://openalex.org/W4385286258","https://openalex.org/W4385342710","https://openalex.org/W4388553381","https://openalex.org/W6787267479","https://openalex.org/W6839498709"],"related_works":["https://openalex.org/W4393220254","https://openalex.org/W4376608589","https://openalex.org/W4321258516","https://openalex.org/W2051833850","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W4287845917","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846"],"abstract_inverted_index":{"Graphs":[0],"are":[1,15,56],"widely":[2],"used":[3],"for":[4,24,200],"representing":[5],"pairwise":[6],"interactions":[7,43],"in":[8,226],"complex":[9,38],"systems.":[10],"Since":[11],"such":[12],"real-world":[13,82,186],"graphs":[14],"large":[16],"and":[17,34,48,54,60,96,127,169,196,203,255],"often":[18],"evergrowing,":[19],"sampling":[20,80,115,130,202,221,264],"subgraphs":[21],"is":[22,229],"useful":[23],"various":[25,181],"purposes,":[26],"including":[27],"simulation,":[28],"visualization,":[29],"stream":[30],"processing,":[31],"representation":[32],"learning,":[33],"crawling.":[35],"However,":[36],"many":[37],"systems":[39],"consist":[40],"of":[41,46,72,79,94,123,140,149,180,248,263,276,283],"group":[42],"(e.g.,":[44],"collaborations":[45],"researchers":[47],"discussions":[49],"on":[50,190,296],"online":[51],"Q&A":[52],"platforms)":[53],"thus":[55],"represented":[57],"more":[58],"naturally":[59],"accurately":[61],"by":[62,65,69,294],"hypergraphs":[63],"than":[64,251,302],"ordinary":[66],"graphs.":[67],"Motivated":[68],"the":[70,77,92,121,124,141,147,150,154,157,235,252,261,274,284,305],"prevalence":[71],"large-scale":[73],"hypergraphs,":[74,83],"we":[75,90,100,108,164,174,193,210,269],"study":[76],"problem":[78],"from":[81],"aiming":[84],"at":[85,119,134],"answering":[86],"(Q1)":[87],"how":[88,98],"can":[89,99],"measure":[91],"goodness":[93],"sub-hypergraphs,":[95],"(Q2)":[97],"efficiently":[101],"find":[102],"a":[103,137,177,220],"\u201cgood\u201d":[104],"sub-hypergraph.":[105],"Regarding":[106,172,207,266],"Q1,":[107],"distinguish":[109],"between":[110],"two":[111],"goals:":[112],"(a)":[113,230],"representative":[114,201,208,237],",":[116,131,198,217],"which":[117,132,218],"aims":[118,133],"capturing":[120],"characteristics":[122],"input":[125,142,158],"hypergraph,":[126],"(b)":[128,243],"back-in-time":[129,204,267],"closely":[135],"approximating":[136],"past":[138,162,287],"snapshot":[139],"time-evolving":[143],"hypergraph.":[144],"To":[145],"evaluate":[146],"similarity":[148],"sampled":[151],"sub-hypergraph":[152],"to":[153],"target":[155,285],"(i.e.,":[156,286],"hypergraph":[159],"or":[160],"its":[161],"snapshot),":[163],"consider":[165],"10":[166],"graph-level,":[167],"hyperedge-level,":[168],"node-level":[170],"statistics.":[171],"Q2,":[173],"first":[175],"conduct":[176],"thorough":[178],"analysis":[179],"intuitive":[182],"approaches":[183],"using":[184],"11":[185],"hypergraphs.":[187],"Then,":[188],"based":[189],"this":[191,292],"analysis,":[192],"propose":[194],"MiDaS":[195,216,277],"MiDaS-B":[197,272],"designed":[199],"sampling,":[205,209,268],"respectively.":[206],"demonstrate":[211,270],"through":[212],"extensive":[213],"experiments":[214],"that":[215,271],"employs":[219],"bias":[222],"toward":[223],"high-degree":[224],"nodes":[225],"hyperedge":[227],"selection,":[228],"Representative":[231],":":[232,245,258],"finding":[233],"overall":[234],"most":[236],"samples":[238],"among":[239],"15":[240],"considered":[241],"approaches,":[242],"Fast":[244],"several":[246],"orders":[247],"magnitude":[249],"faster":[250],"strongest":[253],"competitors,":[254],"(c)":[256],"Automatic":[257],"automatically":[259],"tuning":[260],"degree":[262],"bias.":[265],"inherits":[273],"strengths":[275],"despite":[278],"an":[279],"additional":[280],"challenge\u2014the":[281],"unavailability":[282],"snapshot).":[288],"It":[289],"effectively":[290],"handles":[291],"challenge":[293],"focusing":[295],"replicating":[297,304],"universal":[298],"evolutionary":[299],"patterns,":[300],"rather":[301],"directly":[303],"target.":[306]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}