{"id":"https://openalex.org/W4367046913","doi":"https://doi.org/10.1145/3543507.3583472","title":"CogDL: A Comprehensive Library for Graph Deep Learning","display_name":"CogDL: A Comprehensive Library for Graph Deep Learning","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046913","doi":"https://doi.org/10.1145/3543507.3583472"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583472","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583472","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035985651","display_name":"Yukuo Cen","orcid":"https://orcid.org/0000-0001-5682-2810"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukuo Cen","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-5682-2810","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060102585","display_name":"Zhenyu Hou","orcid":"https://orcid.org/0000-0002-1624-2149"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Hou","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-1624-2149","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029447710","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0001-6353-9706"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-6353-9706","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837124","display_name":"Qibin Chen","orcid":"https://orcid.org/0000-0001-5923-8345"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qibin Chen","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-5923-8345","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060171040","display_name":"Yizhen Luo","orcid":"https://orcid.org/0000-0002-7107-378X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhen Luo","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-7107-378X","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103092072","display_name":"Zhongming Yu","orcid":"https://orcid.org/0000-0003-2064-8106"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongming Yu","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0003-2064-8106","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101714293","display_name":"Hengrui Zhang","orcid":"https://orcid.org/0000-0001-5090-3177"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengrui Zhang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-5090-3177","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065739587","display_name":"Xingcheng Yao","orcid":"https://orcid.org/0000-0001-5065-3016"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingcheng Yao","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-5065-3016","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005277155","display_name":"Aohan Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aohan Zeng","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-8766-0153","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013418144","display_name":"Shiguang Guo","orcid":"https://orcid.org/0000-0002-2058-0626"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Guo","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-2058-0626","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052284218","display_name":"Yuxiao Dong","orcid":"https://orcid.org/0000-0002-6092-2002"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Dong","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-6092-2002","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035227503","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5058-4417"},"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":"Yang Yang","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-5058-4417","affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086476893","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5656-1083"},"institutions":[{"id":"https://openalex.org/I4401726915","display_name":"Zhipu AI (China)","ror":"https://ror.org/005dzvw93","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Zhipu AI, China"],"raw_orcid":"https://orcid.org/0000-0001-5656-1083","affiliations":[{"raw_affiliation_string":"Zhipu AI, China","institution_ids":["https://openalex.org/I4401726915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015946486","display_name":"Guohao Dai","orcid":"https://orcid.org/0000-0003-0849-3252"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohao Dai","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0003-0849-3252","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445061","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-6108-5157"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-6108-5157","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025315","display_name":"Chang Zhou","orcid":"https://orcid.org/0000-0001-9241-702X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Zhou","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":"https://orcid.org/0000-0001-9241-702X","affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082599714","display_name":"Hongxia Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Yang","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":"https://orcid.org/0000-0002-0580-9728","affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044791875","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0003-3487-4593"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0003-3487-4593","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":18,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6106,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91555009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9872999787330627,"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":0.9531000256538391,"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/computer-science","display_name":"Computer science","score":0.7979133129119873},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5166428685188293},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.490242063999176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48800531029701233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46097531914711},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4524574875831604},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.43642476201057434},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36597877740859985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979133129119873},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5166428685188293},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.490242063999176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48800531029701233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46097531914711},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4524574875831604},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.43642476201057434},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36597877740859985}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583472","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3543507.3583472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583472","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5614798656","display_name":null,"funder_award_id":"61825602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6048029205","display_name":null,"funder_award_id":"62276148","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367046913.pdf","grobid_xml":"https://content.openalex.org/works/W4367046913.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1501856433","https://openalex.org/W2008857988","https://openalex.org/W2022322548","https://openalex.org/W2046253692","https://openalex.org/W2090891622","https://openalex.org/W2116341502","https://openalex.org/W2145658888","https://openalex.org/W2153635508","https://openalex.org/W2154851992","https://openalex.org/W2168627253","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2492695942","https://openalex.org/W2626696598","https://openalex.org/W2743104969","https://openalex.org/W2788919350","https://openalex.org/W2803831897","https://openalex.org/W2807021761","https://openalex.org/W2809583854","https://openalex.org/W2911286998","https://openalex.org/W2914721378","https://openalex.org/W2945266622","https://openalex.org/W2945827377","https://openalex.org/W2949676527","https://openalex.org/W2962756421","https://openalex.org/W2966502719","https://openalex.org/W2966694634","https://openalex.org/W2970929262","https://openalex.org/W2998122931","https://openalex.org/W2998269939","https://openalex.org/W3036446966","https://openalex.org/W3039500550","https://openalex.org/W3098276446","https://openalex.org/W3099152386","https://openalex.org/W3100848837","https://openalex.org/W3101158652","https://openalex.org/W3101543043","https://openalex.org/W3101553402","https://openalex.org/W3104097132","https://openalex.org/W3132185085","https://openalex.org/W3152842342","https://openalex.org/W3201719193","https://openalex.org/W4285378361","https://openalex.org/W4288057195","https://openalex.org/W4288057716"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2787993192","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W2158269427","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2,31],"(GNNs)":[3],"have":[4],"attracted":[5],"tremendous":[6],"attention":[7],"from":[8,25],"the":[9,47,65,102,129,154,173,205],"graph":[10,40,51,61,74,111,118,157,182,195],"learning":[11,42,76,119],"community":[12],"in":[13,21],"recent":[14],"years.":[15],"It":[16],"has":[17],"been":[18],"widely":[19],"adopted":[20],"various":[22,110],"real-world":[23],"applications":[24,38,89],"diverse":[26],"domains,":[27],"such":[28,137],"as":[29,138],"social":[30],"and":[32,37,57,80,87,92,104,178,189,201],"biological":[33],"graphs.":[34],"The":[35],"research":[36,180],"of":[39,50,55,60,106,170,175,181],"deep":[41,75],"present":[43,68],"new":[44],"challenges,":[45],"including":[46],"sparse":[48,146],"nature":[49],"data,":[52],"complicated":[53],"training":[54,103,131,135],"GNNs,":[56],"non-standard":[58],"evaluation":[59,105],"tasks.":[62],"To":[63],"tackle":[64],"issues,":[66],"we":[67,96,143],"CogDL1,":[69],"a":[70,98],"comprehensive":[71],"library":[72,158],"for":[73,101,109,148,159],"that":[77],"allows":[78],"researchers":[79],"practitioners":[81],"to":[82,152,187],"conduct":[83],"experiments,":[84],"compare":[85],"methods,":[86],"build":[88],"with":[90,133,172],"ease":[91,169],"efficiency.":[93,160],"In":[94],"CogDL,":[95,149],"propose":[97],"unified":[99,124],"design":[100],"GNN":[107,130],"models":[108],"tasks,":[112,196],"making":[113],"it":[114,151],"unique":[115],"among":[116],"existing":[117],"libraries.":[120],"By":[121],"utilizing":[122],"this":[123],"trainer,":[125],"CogDL":[126,163,186],"can":[127,198],"optimize":[128],"loop":[132],"several":[134],"techniques,":[136],"mixed":[139],"precision":[140],"training.":[141],"Moreover,":[142],"develop":[144],"efficient":[145],"operators":[147],"enabling":[150],"become":[153],"most":[155],"competitive":[156],"Another":[161],"important":[162],"feature":[164],"is":[165],"its":[166],"focus":[167],"on":[168,193],"use":[171],"aim":[174],"facilitating":[176],"open":[177],"reproducible":[179],"learning.":[183],"We":[184],"leverage":[185],"report":[188],"maintain":[190],"benchmark":[191],"results":[192],"fundamental":[194],"which":[197],"be":[199],"reproduced":[200],"directly":[202],"used":[203],"by":[204],"community.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
