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Implementing graph conv. network, message passing, personalised page rank, personalised passing of neural predictions, training, and accuracy computation

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GraphNeuralNetworks

TUM Summer Semester 2022

Machine Learning for Graphs and Sequential Data

Graph convolutional network, message passing, personalized page rank, personalized passing of neural predictions, training, and accuracy calculation.

p.s. The content is only for demonstration purposes since the data / some utility scripts are not included in the repo.

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Implementing graph conv. network, message passing, personalised page rank, personalised passing of neural predictions, training, and accuracy computation

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