Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
Abstract: Large-scale graph processing and Stream processing are two distinct computational paradigms for big data processing. Graph processing deals with computation on graphs of billions of vertices ...
1 Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea 2 Department of Systems Management Engineering, Sungkyunkwan University, Suwon, Republic of Korea ...
A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...
A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover new metallic glasses (MG). By combining element embeddings learned from ...
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