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Hi, Diego! Thank you for sharing the code.
I have read and run the code in branch **similar_impl_tensorflow**. There are some questions I confuse about.
The paper of GAT tells that the author re…
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You separate the images in each class into disjoint labeled and unlabeled sets. Why we can't sample labeled images and take the remained images as unlabeled split and sample unlabeled data from here? …
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## General Information
Author: William L. Hamilton, Rex Ying, and Jure Leskovec
Published: 2017
## Why and What
### Key word
Inductive learning is learning from the specific data and reasoning …
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It would be nice to have a framework similar to `GridSearchCV` and `RandomSearchCV` for assessing unsupervised clusterers. Given a scoring function (silhouette score, or any other domain-appropriate w…
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### Description
To train the GraphSAGE or HinSAGE model without node attributes we currently need use a one-hot input feature matrix which is computationally intractable for a large number of nodes. …
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Hi Dr. Afifi, Thanks for your great work!
I have read many of your inspiring papers about color constancy. From a private point of view, most of your papers are elegant enough and easy to understand…
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what is the use of x in load_data function as from what I see it's just loaded and isn't used, but the one used is allx, what are the differences between them.
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Difference of the model design.
It seems the difference is that GraphSAGE sample the data.
But what is the difference in model architecture.
Thank you very much.
@tkipf
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Hi,
I have allx but i do not have ally (tagged labels) in this case how to make model train in semi-supervised (inductive learning) as mentioned in https://github.com/kimiyoung/planetoid way. Pleas…
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https://github.com/LirongWu/MAPE-PPI/blob/c11708b4b36ade89448606a4a5a42e6e6e25d59a/src/dataloader.py#L98C5-L98C51
Dear authors, I have a question about the division of the dataset.
In the code, I sa…