PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Graph Neural Network Library for PyTorch
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (Neur...
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2...
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models ...
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://a...
My implementation of the original GAT paper (Veličković et al.). I've additionally included the p...