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# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.
## Last session runner-up(s)
- [How Powerful are G…
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# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.
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Hi. Thanks for great work.
I have a question about input data, specifically for node id numbering.
Is a node id unique across all graphs? or unique in a graph?
I mean, graph 1 contains node A, B,…
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Clusters can be found within a training dataset (transductive) then used to train a classifier, so as to extend the clustering model to new instances. See snippet at https://github.com/scikit-learn/sc…
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As far as I understand, it seems that GCN can be directly applied in an inductive setting.
The only difference with the transductive setting is that, in the inference phase, we feed another graph …
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There seems to be only codes about transductive learning of seen nodes? plz correct me if I'm wrong.
I guess I can add a function with new unseen node as placeholder input to replace the self.X in th…
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hi,there ,
I was wondering to run your code but a mistake happened
I use the latest tensorflow gpu version and python 3.7.2
here is the error:
indices size:--------------> 644
indices size:-----…
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# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.
## Last session runner-up(s)
- [Learning and Evalua…
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#### Description
In Line 340 of https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/manifold/spectral_embedding_.py
```
...
class SpectralEmbedding(BaseEstimator):
...
```
mi…
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Hi, Thomas:
I know the GCN model can apply to node classification. And in your paper, I think the node classification is executed in transductive learning.
However, why your data is ind.cora.xxx? T…