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How features are generated? #110
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Hi @geo47, What do feature embeddings mean? Actually, our method is similar to unsupervised GraphSAGE to generate node embeddings with both structural and attribute information. But we mainly focus on the multiplex heterogeneous scenarios. |
Hi @cenyk1230 , Thanks for the reply. By feature embedding, I mean how you generate the feature embedding in the feature.txt file. Like, if I want to generate it on my own custom data, how can I do that as I need to generate node embeddings with both structural and attribute information. Thanks. |
Hi @geo47, It depends on your dataset. Does your dataset contain node attributes, either continuous or discrete attributes? You can transform the discrete attributes into one-hot encodings and concatenate them with continuous attributes as initial node features. |
Yes, I have discrete node attributes. Thanks |
Hello, Thanks |
Hello,
Could you please guide how you generated feature embeddings for each node?
More specifically, I guess the feature embedding represents the attribute features of the node. If we use Node2Vec for embedding it only gives the node embedding, however using GraphSAGE we can obtain embedding with node and attributes.
Thanks
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