Make GNN easy to start with

A Pytorch based implementation of classical GNNs.

This project aims to predict the satisfiability of a SAT3 problem instance using GNNs or LSTMs. Since the SAT3 problem is similar to the 3-coloring, it attempts to solve that as well.

PyTorch Implementation of "Metropolis-Hastings Data Augmentation for Graph Neural Networks". NeurIPS 2021.

This repository presents and compares HeterSUMGraph and variants doing extractive summarization, named entity recognition or both. HeterSUMGraph and variants use GATv2Conv (from torch_geometric).