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README.md

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@@ -21,7 +21,7 @@ To use the database and models in this repository, you will need a working insta
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- To train GNN models, first check whether your machine has CUDA and TensorFlow GPU support setup. This is often a machine-specific process, and depends on your graphics card, its supported CUDA versions, the CUDA versions installed, and the TensorFlow version installed (among other factors)
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- GPU use is *not* required for GNN model training, but significant slowdowns may occur if a GPU is not used
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- To train GNN models, use the following code snippets as an example (other options available by using the --help flag or checking source code).
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- Subgraph Binary: `nohup python train_subgraph_binary.py -n "Example_BinarySubgraph" > Log_ExampleBinaryConcat.txt &`
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- Subgraph Binary: `nohup python train_subgraph_binary.py -n "Example_BinarySubgraph" > Log_ExampleBinarySubgraph.txt &`
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- Subgraph Ternary: `nohup python train_subgraph_ternary.py -n "Example_TernarySubgraph" > Log_Example_TernarySubgraph.txt &`
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- Concat Binary: `nohup python train_concat_binary.py -n "Example_BinaryConcat" > Log_ExampleBinaryConcat.txt &`
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- Concat Ternary: `nohup python train_concat_ternary.py -n "Example_TernaryConcat" > Log_Example_TernaryConcat.txt &`

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