AmpligraphPython library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
grailInductive relation prediction by subgraph reasoning, ICML'20
GRACE[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
GCA[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
QGNNQuaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
SubGNNSubgraph Neural Networks (NeurIPS 2020)
GE-FSGGraph Embedding via Frequent Subgraphs
GNNLens2Visualization tool for Graph Neural Networks
3DInfomaxMaking self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.