Make GNN easy to start with
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.
This project implements models for Protein-Protein Interaction (PPI) prediction, focusing on graph-based methods such as the SOTA GNN model call GIPA.
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).
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