Graph Node indexes data from blockchains such as Ethereum and serves it over GraphQL

Code for a workshop about my Django, GraphQL, ReactJS, Apollo-stack

A graph-based functional API for building complex scikit-learn pipelines.

Simple GraphQL Client

Explorer plugin for GraphiQL

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Graphene SQLAlchemy integration

A tensorflow implementation of RippleNet

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

Must-read papers on network representation learning (NRL) / network embedding (NE)

Representation learning on large graphs using stochastic graph convolutions.

Generate a full (query+mutation) GraphQL schema from your SQLAlchemy Declarative Model Base.

Implementation of the Deep Q-learning algorithm to solve MDPs

Easy to use GraphQL performance analysis utility for tracing resolver execution time

TorchKGE: Knowledge Graph embedding in Python and PyTorch.

A configurable, high-performance routing runtime for Apollo Federation 🚀

Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

Build Graph Nets in Tensorflow

Must-read papers on graph neural networks (GNN)

A collection of important graph embedding, classification and representation learning papers with implementations.

StellarGraph - Machine Learning on Graphs

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Repository for benchmarking graph neural networks

A library for graph deep learning research

An introduction to network analysis and applied graph theory using Python and NetworkX

Strategies for Pre-training Graph Neural Networks

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.