<p>There are several GNN-based approaches for tasks like traffic speed prediction or railway delay prediction, which are doing time-series regression on nodes.</p>
<p>For example:</p>
<p><a href="https://arxiv.org/abs/1811.05320" rel="nofollow noreferrer">T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction</a></p>
<p><a href="https://ieeexplore.ieee.org/abstract/document/9294742" rel="nofollow noreferrer">Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks</a></p>

CC BY-SA 4.0
2023-01-10T13:55:32.330Z
Thank you for your response, my question is actually for Explainable GNN frameworks for a temporal task like traffic forecasting such as GNNexplainer or GraphSVX.
Achiles Br
CC BY-SA 4.0
2023-01-09T10:14:44.117Z
2023-01-09T10:14:44.117Z
zerosum
<p>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.</p>

CC BY-SA 4.0
2022-12-06T20:42:56.770Z
Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.
Community
<papers><graph-neural-networks><model-request><explainable-ai><gnn>
Are there Explainable GNN methods for node regression tasks?
Achiles Br
# Are there Explainable GNN methods for node regression tasks?

(Asked by: username_0 on 2022-12-06)

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.

**Tags:** papers, graph-neural-networks, model-request, explainable-ai, gnn

> **Comments:**
> **username_1**: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.  

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## 1 answers

### Answer by username_2 on 2023-01-09. Score: 0

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](https://arxiv.org/abs/1811.05320)

[Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks](https://ieeexplore.ieee.org/abstract/document/9294742)

> **Comments:**
> **username_0**: Thank you for your response, my question is actually for Explainable GNN frameworks for a temporal task like traffic forecasting such as GNNexplainer or GraphSVX.  

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