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Efficient Scaling of Dynamic Graph Neural Networks
We present distributed algorithms for training dynamic Graph Neural Networks (GNN) on large scale graphs spanning multi-node, multi-GPU systems.
Decentralised firewall for malware detection
File classification is carried out using a deep belief neural network (DBN) as the detection engine.
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