arXiv (All)
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GLL: A Differentiable Graph Learning Layer for Neural Networks
Standard deep learning architectures used for classification generate label predictions with a projection head and softmax activation function. Although successful, these methods fail to leverage the relational information between samples for generating label predictions. In recent works, graph-base
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