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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 research papers focus on node classification tasks (GNNexplainer etc) but do not specify if these techniques are fit for node-regression tasks.

nbro
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Achiles Br
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1 Answers1

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There are several GNN-based approaches for tasks like traffic speed prediction or railway delay prediction, which are doing time-series regression on nodes.

For example:

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks

zerosum
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