Answers.Body: <p>Sure thing, it's called multitask learning, check this <a href="https://grlearning.github.io/papers/132.pdf" rel="nofollow noreferrer">paper</a> as a starting example.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-11-23T09:26:47.883Z
Answers.Text: That is exactly what I was looking for.
  Thank you so much.
Answers.UserDisplayName: FineFynmen
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-11-22T09:14:01.290Z
Answers.LastActivityDate: 2022-11-22T09:14:01.290Z
Answers.UserDisplayName: Edoardo Guerriero
Body: <p>I would like to classify the nodes of each graph in a multigraph, and transform the graph structure (or delete some of the nodes).
  And then I want to do a graph-level classification problem.</p>
  <p>Are there any methods or models to achieve this?
  I have no idea how to do the labels.</p>
  <p>I look forward to helping.</p>
  
Tags: <deep-learning><graph-neural-networks><gnn>
Title: Is it possible to perform node-level classification and graph-level classification on the same graph?
UserDisplayName: FineFynmen
ThreadText: # Is it possible to perform node-level classification and graph-level classification on the same graph?
  
  (Asked by: username_0 on 2022-11-21)
  
  I would like to classify the nodes of each graph in a multigraph, and transform the graph structure (or delete some of the nodes).
  And then I want to do a graph-level classification problem.
  
  Are there any methods or models to achieve this?
  I have no idea how to do the labels.
  
  I look forward to helping.
  
  **Tags:** deep-learning, graph-neural-networks, gnn
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2022-11-22. Score: 0 | Accepted answer
  
  Sure thing, it's called multitask learning, check this [paper](https://grlearning.github.io/papers/132.pdf) as a starting example.
  
  > **Comments:**
  > **username_0**: That is exactly what I was looking for. Thank you so much.  
  
  ---
  
  