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This repo is an implementation for Graph Convolutional network as a part of project for CS380C: Compiler course at the University of Texas at Austin.

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Introduction

This repo is an implementation for Graph Convolutional network as a part of project for CS380C: Compiler course at the University of Texas at Austin.

Graph Convolution Network

How to run

You need to make sure that you support cuda compilation through nvcc. You can use the make file to compile whole project. Command to compile: Make all (this will generate an executable file called run_test) command to run the code: ./run_test

References

https://tkipf.github.io/graph-convolutional-networks/

https://towardsdatascience.com/understanding-graph-convolutional-networks-for-node-classification-a2bfdb7aba7b

https://missinglink.ai/guides/convolutional-neural-networks/graph-convolutional-networks/

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This repo is an implementation for Graph Convolutional network as a part of project for CS380C: Compiler course at the University of Texas at Austin.

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