a dgl implementation for GN (graph network) framework
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- Python
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Description
This is a dgl implementation for the paper 'Relational inductive biases, deep learning, and graph networks (https://arxiv.org/pdf/1806.01261.pdf)'. A simple example about node/edge/global feature update.
Code is available at https://github.com/ylinlinz/a-dgl-implementation-for-GN-graph-network-framework-.git
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