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As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models. Written by eWEEK content and product recommendations ...
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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysisBingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...
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Novel out-of-core mechanism introduced for large-scale graph neural network training - MSNA research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of ...
PLEASANTON, Calif.--(BUSINESS WIRE)--Kobai, the codeless knowledge graph platform, today announced the availability of Kobai Saturn, the industry’s first knowledge graph to harness the scale ...
In tests using large-scale real-world graph datasets, Capsule outperformed the best existing systems, achieving up to a 12.02x performance improvement while using only 22.24% of the memory.
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