GCN_Partitioning
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saurabhdash
Graph Partitoning Using Graph Convolutional Networks
I tested with my real data which has ~300 nodes and 8000 edges. It takes more than 1 day to perform the training. (Also tested data with 40 nodes and...
I am a beginner to graphing problems.I have read your paper and am very interested in the experiment.But I don't understand the data sets in the experiments in your paper...
Bumps [numpy](https://github.com/numpy/numpy) from 1.18.1 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...
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Hi, Because my graph adjacency is large as (100k x 100k) nodes, I plan to use torch's SparseTensor for storing data. I noticed that you implemented a custom loss with...
because A has normalized, D would be a tensor with all 1.
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Graph Partitoning Using Graph Convolutional Networks