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Graph Neural Stochastic Differential Equations
We present a novel model Graph Neural Stochastic Differential Equations (Graph Neural SDEs).
Adaptive Filters for Low-Latency and Memory-Efficient Graph Neural Networks
Scaling and deploying graph neural networks (GNNs) remains difficult due to their high memory consumption and inference latency.
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