{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T07:30:00Z","timestamp":1768030200771,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":6,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3406712","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:03:53Z","timestamp":1597964633000},"page":"3521-3522","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Scalable Graph Neural Networks with Deep Graph Library"],"prefix":"10.1145","author":[{"given":"Da","family":"Zheng","sequence":"first","affiliation":[{"name":"Amazon, Palo Alto, CA, USA"}]},{"given":"Minjie","family":"Wang","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Quan","family":"Gan","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Zheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Geroge","family":"Karypis","sequence":"additional","affiliation":[{"name":"AWS AI, Palo Alto, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research","volume":"950","author":"Chen Jianfei","year":"2018","unstructured":"Jianfei Chen , Jun Zhu , and Le Song . 2018 . Stochastic Training of Graph Convolutional Networks with Variance Reduction . In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research , Vol. 80), Jennifer Dy and Andreas Krause (Eds.). PMLR, Stockholmsm\u00e4ssan, Stockholm Sweden, 942-- 950 . Jianfei Chen, Jun Zhu, and Le Song. 2018. Stochastic Training of Graph Convolutional Networks with Variance Reduction. In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 80), Jennifer Dy and Andreas Krause (Eds.). PMLR, Stockholmsm\u00e4ssan, Stockholm Sweden, 942--950."},{"key":"e_1_3_2_1_2_1","first-page":"I","article-title":"Inductive Representation Learning on Large Graphs","volume":"30","author":"Hamilton Will","year":"2017","unstructured":"Will Hamilton , Zhitao Ying , and Jure Leskovec . 2017 . Inductive Representation Learning on Large Graphs . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). 1024--1034. Will Hamilton, Zhitao Ying, and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). 1024--1034.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272010"},{"key":"e_1_3_2_1_4_1","volume-title":"Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. ICLR Workshop on Representation Learning on Graphs and Manifolds (2019","author":"Wang Minjie","year":"2019","unstructured":"Minjie Wang , Lingfan Yu , Da Zheng , Quan Gan , Yu Gai , Zihao Ye , Mufei Li , Jinjing Zhou , Qi Huang , Chao Ma , Ziyue Huang , Qipeng Guo , Hao Zhang , Haibin Lin , Junbo Zhao , Jinyang Li , Alexander J Smola , and Zheng Zhang . 2019 . Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. ICLR Workshop on Representation Learning on Graphs and Manifolds (2019 ). https:\/\/arxiv.org\/abs\/1909.01315 Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J Smola, and Zheng Zhang. 2019. Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. ICLR Workshop on Representation Learning on Graphs and Manifolds (2019). https:\/\/arxiv.org\/abs\/1909.01315"},{"key":"e_1_3_2_1_5_1","volume-title":"Open Graph Benchmark: Datasets for Machine Learning on Graphs. arXiv preprint arXiv:2005.00687","author":"Yuxiao Dong Hongyu Ren Marinka Zitnik","year":"2020","unstructured":"Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta Jure Leskovec Weihua Hu , Matthias Fey . 2020. Open Graph Benchmark: Datasets for Machine Learning on Graphs. arXiv preprint arXiv:2005.00687 ( 2020 ). Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta Jure Leskovec Weihua Hu, Matthias Fey. 2020. Open Graph Benchmark: Datasets for Machine Learning on Graphs. arXiv preprint arXiv:2005.00687 (2020)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3406712","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3406712","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:30Z","timestamp":1750195890000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3406712"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":6,"alternative-id":["10.1145\/3394486.3406712","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3406712","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}