<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>

CC BY-SA 4.0
2022-11-23T09:26:47.883Z
That is exactly what I was looking for.
Thank you so much.
FineFynmen
CC BY-SA 4.0
2022-11-22T09:14:01.290Z
2022-11-22T09:14:01.290Z
Edoardo Guerriero
<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>

<deep-learning><graph-neural-networks><gnn>
Is it possible to perform node-level classification and graph-level classification on the same graph?
FineFynmen
# 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


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## 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.  

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