Answers.Body: <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>
  
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Answers.CreationDate: 2023-01-10T13:55:32.330Z
Answers.Text: 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.
Answers.UserDisplayName: Achiles Br
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-01-09T10:14:44.117Z
Answers.LastActivityDate: 2023-01-09T10:14:44.117Z
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Body: <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>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-12-06T20:42:56.770Z
Comments.Text: 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.
Comments.UserDisplayName: Community
Tags: <papers><graph-neural-networks><model-request><explainable-ai><gnn>
Title: Are there Explainable GNN methods for node regression tasks?
UserDisplayName: Achiles Br
ThreadText: # 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.  
  
  ---
  
  ## 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.  
  
  ---
  
  