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KerGNNs: Interpretable Graph Neural Networks with Graph ...
tasks and use cross-validation to make fair comparisons with benchmarks. We show that our method achieves competitive performance compared with existing state-of-the-art meth-ods, demonstrating the potential to increase the representation ability of GNNs. We also show that the trained graph filters in
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Adversarial Generative Nets: Neural Network …
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Mastering Chess and Shogi by Self-Play with a …
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