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ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
In this paper, we propose a new hierarchical pooling operation, namely the Edge-Node Attention-based Differentiable Pooling (ENADPool), for GNNs to learn effective graph representations.
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