GDLL: A Scalable and Share Nothing Architecture based Distributed Graph Neural Networks Framework
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DOI: 10.1109/access.2022.3148126
Abstract: Deep learning has recently been shown to be effective in uncovering hidden patterns in non-Euclidean space, where data is represented as graphs with complex object relationships and interdependencies. Because of the implicit data dependence in… read more here.
Keywords: neural networks; graph neural; gdll scalable; distributed graph ... See more keywords