This repository accompanies an EMNLP 2019 and CODS-COMAD 2020 tutorial on Graph Neural Networks for NLP. It contains PyTorch and TensorFlow implementations of Graph Convolutional Networks, including simplified GCN models and references to extensions for relation extraction, word embeddings, and document time-stamping. The repository includes lecture slides and theoretical background on GCNs.