Build a Graph Convolutional NN which predicts a graph
Budget: $30 – $250 USD
I have a graph with nodes and edges. I want you to build a very basic GCN which can predict the nodes and edges to make this graph.
Furthermore, I want to have plots of the training stage after each epoch in the frequency domain. Here is an example code which makes these plots for CNNs, so maybe you can just use these, but it must work for GCN: https://github.com/xuzhiqin1990/F-Principle/blob/master/BasicFunc.py
Furthermore, I want to have plots of the training stage after each epoch in the frequency domain. Here is an example code which makes these plots for CNNs, so maybe you can just use these, but it must work for GCN: https://github.com/xuzhiqin1990/F-Principle/blob/master/BasicFunc.py