Abstract: Graph Neural Networks (GNNs) with learnable vertex embeddings enable models to infer rich, task-specific representations even when vertex features are sparse, noisy, or missing. In ...
In 2026, we will run the second edition of the full Internet Society NDSS Fellowship Program to give you a richer and more rewarding experience before, during, and after the NDSS Symposium 2026. Our ...
Abstract: Distributed training is the most common way to scale out and accelerate Deep Neural Network (DNN) training. Distributed DNN training requires synchronization of gradient aggregation among ...
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