{"id":27467,"date":"2021-10-24T06:00:00","date_gmt":"2021-10-24T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=27467"},"modified":"2021-10-25T09:41:48","modified_gmt":"2021-10-25T16:41:48","slug":"kdd-2021-celebrates-winning-teams-of-25th-annual-kdd-cup","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2021\/10\/24\/kdd-2021-celebrates-winning-teams-of-25th-annual-kdd-cup\/","title":{"rendered":"KDD 2021 Celebrates Winning Teams of 25th Annual KDD Cup"},"content":{"rendered":"\n<div class=\"wp-block-image is-style-default\"><figure class=\"alignright size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"201\" height=\"131\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/04\/KDD21_logo_small.png\" alt=\"\" class=\"wp-image-26048\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/04\/KDD21_logo_small.png 201w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/04\/KDD21_logo_small-150x98.png 150w\" sizes=\"(max-width: 201px) 100vw, 201px\" \/><\/figure><\/div>\n\n\n\n<p>The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) recognized the winning teams of this year&#8217;s KDD Cup, the annual competition held at KDD 2021, the premier interdisciplinary conference in data science. KDD Cup 2021, which took place virtually Aug. 14-18, 2021, crowdsourced participants who are helping to solve challenges within the knowledge discovery and data mining industry, providing a platform for aspiring and experienced data scientists alike to build their professional profiles and network with leading professionals in the field during&nbsp;<a href=\"https:\/\/kdd.org\/kdd2021\/\" target=\"_blank\" rel=\"noreferrer noopener\">KDD 2021<\/a>.&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>&#8220;Every year, the KDD Cup attracts the brightest data science talent across the globe, and competitors in this year&#8217;s competition did not hold back. All entries demonstrated ingenuity, impact, and impeccable teamwork. I thank all of the teams this year and congratulate those that rose to the top\u2014teams that fundamentally challenged themselves and the way the world thinks when it comes to data science,&#8221; said Wei Wang, SIGKDD chair and professor in computer science at the University of California, Los Angeles.&nbsp;<\/p><\/blockquote>\n\n\n\n<p>This year&#8217;s competition was supported by several companies and universities who support the data science ecosystem including Facebook AI, TU Dortmund, Intel, Shanghai Jiao Tong University, Yunqi Academy of Engineering, Stanford University, Hexagon-ML, and Tianrang. More than 1,100 teams competed in the City Brain Challenge, 193 teams in the Time Series, and 143 teams in the Open Graph Benchmark (OGB) Large Scale Challenge (LSC), with competition winners selected by an entirely automated process. KDD Cup 2021 winners include:&nbsp;<\/p>\n\n\n\n<p><strong>KDD Cup Track 1: Multi-Dataset Time Series Anomaly Detection \u2014 Creating New Benchmarks for Time Series Anomaly Detection<\/strong>&nbsp;<\/p>\n\n\n\n<ul><li>First place went to&nbsp;DeepBlueAI, which included&nbsp;Zhixing&nbsp;He, Xu Zhang, and&nbsp;Jin&nbsp;Wang.&nbsp;<\/li><li>Second place went to Huawei Noah&#8217;s Ark Lab, which included Marcus Kalander and Sixiao Yang.&nbsp;<\/li><li>Third place went to&nbsp;Hitchi&nbsp;America R&amp;D, which included Qiyao Wang, Wei Huang, Ahmed Farahat, and Haiyan Wang.&nbsp;<\/li><\/ul>\n\n\n\n<p><strong>KDD Cup Track 2: Open Graph Benchmark (OGB) Large Scale Challenge (LSC) for Graph Machine Learning \u2014 Developing a State-of-the-Art Machine Learning Graph Model for Massive Modern Datasets<\/strong>&nbsp;<\/p>\n\n\n\n<ul><li>First place in <strong>adopted recent advanced technique for predicting papers&#8217; subject areas in a heterogeneous academic graph<\/strong> went to BD-PGL, which included&nbsp;Yunsheng&nbsp;Shi,&nbsp;Zhengjie&nbsp;Huang, Weibin Li,&nbsp;Weiyue&nbsp;Su, and Shikun Feng.&nbsp;<\/li><li>Second place went to Academic, which included&nbsp;Petar&nbsp;Velickovic, Peter Battaglia, Jonathan Godwin, Alvaro Sanchez, David Budden, Shantanu Thakoor, Jacklynn Stott, Ravichandra Addanki, Thomas Keck, and Andreea Deac.&nbsp;<\/li><li>Third place went to&nbsp;Synerise&nbsp;AI, which included Michal Daniluk, Jacek Dabrowski, Konrad&nbsp;Goluchowski, and Barbara&nbsp;Rychalska.&nbsp;<\/li><li>First place for<strong> better performance and use for predicting missing facts in a knowledge graph <\/strong>went to BD-PGL, which included&nbsp;Weiyue&nbsp;Su, Shikun Feng,&nbsp;Zeyang&nbsp;Fang,&nbsp;Huijuan&nbsp;Wang,&nbsp;Siming&nbsp;Dai, Hui Zhong,&nbsp;Yunsheng&nbsp;Shi, and&nbsp;Zhengjie&nbsp;Huang.&nbsp;<\/li><li>Second place went to&nbsp;OhMyGod, which included Weihua Peng.&nbsp;<\/li><li>Third place went to&nbsp;GraphMIRAcles, which included Jianyu Cai, Jiajun Chen,&nbsp;Taoxing&nbsp;Pan,&nbsp;Zhanqiu&nbsp;Zhang, and Jie Wang.<\/li><li>First place for <strong>predicting a quantum property of molecular&nbsp;graphsdataset&nbsp;and prediction task<\/strong> went to&nbsp;MachineLearning, which included&nbsp;Chengxuan&nbsp;Ying, Mingqi Yang,&nbsp;Shengjie&nbsp;Luo,&nbsp;Tianle&nbsp;Cai,&nbsp;Guolin&nbsp;Ke, Di He,&nbsp;Shuxin&nbsp;Zheng,&nbsp;Chenglin&nbsp;Wu, Yuxin Wang, and Yanming Shen.&nbsp;<\/li><li>Second place went to&nbsp;SuperHelix, which included&nbsp;Shanzhuo&nbsp;Zhang,&nbsp;Lihang&nbsp;Liu, Sheng Gao,&nbsp;Donglong&nbsp;He, Weibin Li,&nbsp;Zhengjie&nbsp;Huang,&nbsp;Weiyue&nbsp;Su, and&nbsp;Wenjin&nbsp;Wang.&nbsp;<\/li><li>Third place went to Quantum, which included Peter&nbsp;Velickovic, Peter Battaglia, Jonathan Godwin, Alvaro Sanchez, David Budden, Shantanu Thakoor, Jaclynn Stott, Ravichandra Addanki, Sibon Li, and Andreea Deac.&nbsp;<\/li><\/ul>\n\n\n\n<p><strong>KDD Cup Track 3: City Brain Challenge \u2014 Providing a City-Scale Road Network and its Traffic Demand<\/strong>&nbsp;<\/p>\n\n\n\n<ul><li>First place went to&nbsp;IntelligentLight, which included Gang Song, Zheng Zhang,&nbsp;Chufan&nbsp;Wang, Yucheng Gu, and&nbsp;Zeyu&nbsp;Sun.&nbsp;<\/li><li>Second place went to&nbsp;GoodGoodStudy, which included&nbsp;Zhenzhe&nbsp;Ying,&nbsp;Zhuoer&nbsp;Xu, Hui Li, Haotian Wang, and&nbsp;Shiwen&nbsp;Cui.&nbsp;<\/li><li>Third place went to 4QC_team, which included Chuan Qin.&nbsp;<\/li><\/ul>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a rel=\"noreferrer noopener\" href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n\n\n\n<p><em>Join us on Twitter:&nbsp;@InsideBigData1 \u2013 <a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) recognized the winning teams of this year&#8217;s KDD Cup, the annual competition held at KDD 2021, the premier interdisciplinary conference in data science. KDD Cup 2021, which took place virtually Aug. 14-18, 2021, crowdsourced participants who are helping to solve challenges within the knowledge discovery and data mining industry, providing a platform for aspiring and experienced data scientists alike to build their professional profiles and network with leading professionals in the field during\u00a0KDD 2021.\u00a0<\/p>\n","protected":false},"author":10513,"featured_media":26048,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,87,180,67,56,84,1],"tags":[587,437,133,791,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>KDD 2021 Celebrates Winning Teams of 25th Annual KDD Cup - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2021\/10\/24\/kdd-2021-celebrates-winning-teams-of-25th-annual-kdd-cup\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"KDD 2021 Celebrates Winning Teams of 25th Annual KDD Cup - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) recognized the winning teams of this year&#039;s KDD Cup, the annual competition held at KDD 2021, the premier interdisciplinary conference in data science. 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