Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

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A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on pairwise graphs ...

Apache Iceberg version 1.7.1 Query engine Spark Please describe the bug 🐞 Hello, I'd like to get some help on compaction OOM in Spark. Calling rewrite_data_files on a relatively large partition in ...

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.