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I have a couple of questions related to subgraph embedding (representations):
1- Assume I have a graph G, I need to extract multiple subgraph embedding (representation) from G for, later on, I will use each/combined representations for downstream tasks. Is there a built-in function in PyG returns subgraph embedding?
2- On the other hand, assuming I have N subgraphs, is there a way to consider them all for a classification/regression task? What I mean here is that these N subgraphs might not have any direct connections but exist within a graph G. Is there a function which will learn a global/universal embedding of N subgraphs within a graph G and predict a label (either for classification or regression task)?
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Hello,
I have a couple of questions related to subgraph embedding (representations):
1- Assume I have a graph
G
, I need to extract multiple subgraph embedding (representation) from G for, later on, I will use each/combined representations for downstream tasks. Is there a built-in function in PyG returns subgraph embedding?2- On the other hand, assuming I have
N
subgraphs, is there a way to consider them all for a classification/regression task? What I mean here is that theseN
subgraphs might not have any direct connections but exist within a graphG
. Is there a function which will learn a global/universal embedding ofN
subgraphs within a graphG
and predict a label (either for classification or regression task)?Beta Was this translation helpful? Give feedback.
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