{"id":"https://openalex.org/W4320067889","doi":"https://doi.org/10.1145/3545008.3545060","title":"Towards Fast Large-scale Graph Analysis via Two-dimensional Balanced Partitioning","display_name":"Towards Fast Large-scale Graph Analysis via Two-dimensional Balanced Partitioning","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W4320067889","doi":"https://doi.org/10.1145/3545008.3545060"},"language":"en","primary_location":{"id":"doi:10.1145/3545008.3545060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545008.3545060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st International Conference on Parallel Processing","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/A5101356724","display_name":"Shuai Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Lin","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431161","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-8915-4169"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101970462","display_name":"Yongkun Li","orcid":"https://orcid.org/0000-0002-3743-8511"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkun Li","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070385135","display_name":"Yinlong Xu","orcid":"https://orcid.org/0000-0001-9586-0561"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinlong Xu","raw_affiliation_strings":["Anhui Province Key Laboratory of High Performance Computing, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of High Performance Computing, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068489266","display_name":"John C. S. Lui","orcid":"https://orcid.org/0000-0001-7466-0384"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"John C.S. Lui","raw_affiliation_strings":["The Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405386","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0002-3676-6011"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Chen","raw_affiliation_strings":["Huawei, China"],"affiliations":[{"raw_affiliation_string":"Huawei, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441284","display_name":"Pengcheng Wang","orcid":"https://orcid.org/0000-0002-2797-6973"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Wang","raw_affiliation_strings":["Huawei, China"],"affiliations":[{"raw_affiliation_string":"Huawei, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101913179","display_name":"Lei Han","orcid":"https://orcid.org/0000-0002-0036-4504"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Han","raw_affiliation_strings":["Huawei, China"],"affiliations":[{"raw_affiliation_string":"Huawei, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101356724"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.2042,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50809339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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/T11478","display_name":"Caching and Content Delivery","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/graph-partition","display_name":"Graph partition","score":0.6892978549003601},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6535124778747559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315383911132812},{"id":"https://openalex.org/keywords/frequency-partition-of-a-graph","display_name":"Frequency partition of a graph","score":0.5284305214881897},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5128629207611084},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.4594302177429199},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.43636754155158997},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40049266815185547},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.31913095712661743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30185723304748535},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2513936758041382},{"id":"https://openalex.org/keywords/graph-power","display_name":"Graph power","score":0.22220411896705627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.068614661693573}],"concepts":[{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.6892978549003601},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6535124778747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315383911132812},{"id":"https://openalex.org/C178744013","wikidata":"https://www.wikidata.org/wiki/Q5502876","display_name":"Frequency partition of a graph","level":5,"score":0.5284305214881897},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5128629207611084},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.4594302177429199},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.43636754155158997},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40049266815185547},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.31913095712661743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30185723304748535},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2513936758041382},{"id":"https://openalex.org/C149530733","wikidata":"https://www.wikidata.org/wiki/Q5597091","display_name":"Graph power","level":4,"score":0.22220411896705627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.068614661693573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3545008.3545060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545008.3545060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W217817341","https://openalex.org/W1969970763","https://openalex.org/W1971630691","https://openalex.org/W1999446611","https://openalex.org/W2006023152","https://openalex.org/W2022678927","https://openalex.org/W2031709923","https://openalex.org/W2038405834","https://openalex.org/W2044902313","https://openalex.org/W2053076698","https://openalex.org/W2063597636","https://openalex.org/W2077943220","https://openalex.org/W2112030268","https://openalex.org/W2116450608","https://openalex.org/W2117831564","https://openalex.org/W2130822890","https://openalex.org/W2131439865","https://openalex.org/W2154851992","https://openalex.org/W2166469213","https://openalex.org/W2170616854","https://openalex.org/W2524559025","https://openalex.org/W2798875768","https://openalex.org/W2889350994","https://openalex.org/W2914894107","https://openalex.org/W2962756421","https://openalex.org/W2963918469","https://openalex.org/W2964157613","https://openalex.org/W2982231843","https://openalex.org/W2990947761","https://openalex.org/W3029002917","https://openalex.org/W3035483307","https://openalex.org/W3104001151","https://openalex.org/W3104097132","https://openalex.org/W3185842982","https://openalex.org/W3196829622","https://openalex.org/W3207183145","https://openalex.org/W4211197802"],"related_works":["https://openalex.org/W2583811263","https://openalex.org/W2035944803","https://openalex.org/W2125616118","https://openalex.org/W1486426280","https://openalex.org/W2024128809","https://openalex.org/W1564049642","https://openalex.org/W4309705510","https://openalex.org/W4320067889","https://openalex.org/W2589069191","https://openalex.org/W4385889773"],"abstract_inverted_index":{"Distributed":[0],"graph":[1,13,19,31,41,103,142,179],"systems":[2,42],"often":[3],"leverage":[4],"a":[5,11,23,45,81,169],"cluster":[6,110],"of":[7,29,56,61,69,165,177],"machines":[8],"by":[9,181],"partitioning":[10],"large":[12],"into":[14,104,138],"multiple":[15,187],"small-size":[16],"subgraphs.":[17],"Thus,":[18],"partition":[20,37,83,100,115,189],"usually":[21],"has":[22],"significant":[24],"impact":[25],"on":[26],"the":[27,54,59,74,101,109,114,123,163,173],"performance":[28],"distributed":[30,141],"systems.":[32],"However,":[33],"existing":[34,188],"widely":[35],"used":[36],"schemes":[38],"in":[39,49,156],"practical":[40],"can":[43],"realize":[44,86,117],"good":[46,154],"balance":[47,88,155],"only":[48],"one":[50],"dimension,":[51],"e.g.,":[52,191],"either":[53],"number":[55,60,164],"vertices":[57,91],"or":[58],"edges,":[62],"and":[63,92,112,146,159,195],"they":[64],"may":[65],"also":[66,160],"incur":[67],"lots":[68],"edge":[70,166],"cuts.":[71,167],"To":[72],"address":[73],"problem,":[75],"we":[76],"develop":[77],"BPart,":[78],"which":[79],"adopts":[80],"two-phase":[82],"scheme":[84],"to":[85,98,116,126,130,186],"two-dimensional":[87,132],"for":[89],"both":[90,157],"edges.":[93],"Its":[94],"core":[95],"idea":[96],"is":[97],"first":[99],"original":[102],"more":[105],"small":[106,124],"pieces":[107,125],"than":[108],"scale,":[111],"combine":[113,122],"desired":[118],"properties,":[119],"then":[120],"selectively":[121],"construct":[127],"larger":[128],"subgraphs":[129],"generate":[131],"balanced":[133],"partition.":[134],"We":[135],"implement":[136],"BPart":[137,152,171],"two":[139],"open-source":[140],"systems,":[143],"Gemini":[144],"[58]":[145],"KnightKing":[147],"[57].":[148],"Results":[149],"show":[150],"that":[151],"realizes":[153],"dimensions,":[158],"significantly":[161],"reduces":[162,172],"As":[168],"result,":[170],"total":[174],"running":[175],"time":[176],"various":[178],"applications":[180],"5%":[182],"-":[183],"70%,":[184],"compared":[185],"schemes,":[190],"Chunk-V,":[192],"Chunk-E,":[193],"Fennel,":[194],"Hash.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}