April 30, 2024, 4:42 a.m. | Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Ha

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.18209v1 Announce Type: new
Abstract: Although RDBs store vast amounts of rich, informative data spread across interconnected tables, the progress of predictive machine learning models as applied to such tasks arguably falls well behind advances in other domains such as computer vision or natural language processing. This deficit stems, at least in part, from the lack of established/public RDB benchmarks as needed for training and evaluation purposes. As a result, related model development thus far often defaults to tabular approaches …

arxiv benchmarking cs.db cs.lg dbs graph modeling predictive predictive modeling relational type

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