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aml_projects

aomic_data

benchmarking-gnns

Repository for benchmarking graph neural networks

fds_practicals

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

machine-learning-for-economic-analysis

Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

sopra-fs22-template-client

sopra-fs22-template-server

tikost

Config files for my GitHub profile.

wstest