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Are there Explainable GNN methods for node regression tasks?

I am wondering if there are gnn explainable methods for a regression task (e.g., traffic forecasting) where nodes have numerical features and the predicted output is a numerical value. Most of ...
Achiles Br's user avatar
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ST-GCN: graph convolution operator in Geometry-Aware Interaction Network (GAIN)

I need help implementing the model in this paper: They have adopted spatio-temporal graph convolution operator in ST-GCN [section 3.1.2]. I've found there is popular libraries available for GCN: ...
Kholdarbekov's user avatar
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GNN Training loop for node regression

I am currently working with the PYG library on a graph neural network project focused on node regression. In order to train this network, I generate my own collection of graphs using a "for loop.&...
Zahraa's user avatar
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