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Hello,
I was getting started with a graph classification problem and i tried the Supervised Graph Classification with GCN. I have graphs in gml format which i opened with networkx and then converte…
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Hello everyone, I would like to hear your opinions. I have been working with Nexmon since April of this year and have made some progress in capturing Wi-Fi data, but there are still things I don’t ful…
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readme is a little bit simple.
I just started learning about graph neural networks,so i want to run through you code then learn your paper.
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Hi I have two questions:
- I would like to repurpose this for graph classification (where I have a single label _per graph_). I see there is an option to choose `featureless=False` when defining a …
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Hi,
Thanks for making the source of HGT public.
A question that I have is that how can we use HGT to classify heterogeneous graphs?
Currently, the training examples that are provided are for node…
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Given the following material:
```
```
Generating the OSL shader code yields this the following abbreviated code.
```
…
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I am currently training triplet loss with n=2, l=2 with margin 0.5 on custom dataset. Training model with ViTs16 and linear classification layer as projector. Model is able to converge as can be seen…
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## Describe the bug
I did a few Gravity Spy classifications this evening. When I went to the home page, my total classifications dropped from 280 to 272. Daily stats were fine.
## To Reprod…
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Dear Professor DeCost,
I hope this message finds you well. My name is Jinbin, and I am currently exploring your work on "Atomistic Line Graph Neural Network for improved materials property predicti…
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Hi:
I want to apply gcn to a directed graph which edges has features and labels, for the edges classification task. Since the gcn is originally used in node classification, should I take edges-to-n…