gcn
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Implementation of Graph Convolutional Networks in TensorFlow
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.15.4 to 2.9.3. Release notes Sourced from tensorflow's releases. TensorFlow 2.9.3 Release 2.9.3 This release introduces several vulnerability fixes: Fixes an overflow in tf.keras.losses.poisson (CVE-2022-41887) Fixes a...
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Sorry, I'm trying to install the gcn package, it looks like it requires an older version of tensor flow I initially tried to run: pip install -r requirements.txt in the...
Hello,this is a very good GNN approach, which is highly integrated.I wonder to know if there is a version of Tensorflow2.Thank you.
if a data have no label, how can i store the label of the data? stored by null or other string?
Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
First of all, thank you very much for your work in GCN. I have spent quite a lot of time to understand how this works for graphs with different number...
Hello， Recently, I started learning GCN managed to run examples codes. I konw that in forward propagation stage, the hidden features will be computed with learnable parameters W and aggregated...
Hi, Thank you for creating a solution like this and maintaining the repo and answering the quarries. I'm trying the train the model in my own conell data, where the...
