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Found 2 papers, 1 papers with code
Tango: rethinking quantization for graph neural network training on GPUs
Graph Neural Networks (GNNs) are becoming increasingly popular due to their superior performance in critical graph-related tasks.
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis
Given a graph and a pre-trained GNN model, Illuminati is able to identify the important nodes, edges, and attributes that are contributing to the prediction while requiring no prior knowledge of GNN models.
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