Python library for Representation Learning on Knowledge Graphs
links to conference publications in graph-based deep learning
Updated Apr 24, 2019
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated Apr 6, 2019
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
Updated Nov 6, 2018
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Updated Feb 15, 2019
A PyTorch implementation of "A Higher-Order Graph Convolutional Layer" (NeurIPS 18 Relational Representation Learning…
Updated Mar 26, 2019
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Updated Apr 15, 2019
MXNet implementation of Graph Convolutional Neural Networks
Updated Oct 8, 2018
Graph Embedding via Frequent Subgraphs
Updated Apr 7, 2019
This package has been made to compare some graph embedding algorithms. The following methods are implemented: Laplaci…
Updated Apr 5, 2019