This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

Graph convolutional neural network for multirelational link prediction

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

A GraphQL + Dgraph + Go + HTTP based backend service demo.

Linked Data Querying with GraphQL

JanusGraph: an open-source, distributed graph database

Graph Convolutional Networks in PyTorch

DeepWalk - Deep Learning for Graphs

🕸️ GraphQL Federation Framework for any API services such as REST, OpenAPI, Swagger, SOAP, gRPC and more...

Generate embeddings from large-scale graph-structured data.

Graph Neural Networks with Keras and Tensorflow 2.

GraphQL support for PostgreSQL

A collection of research papers and software related to explainability in graph machine learning.

Paper Lists for Graph Neural Networks

A graph database as a Redis module

A distributed knowledge graph store

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Benchmark datasets, data loaders, and evaluators for graph machine learning

🕵️‍♀️ Validate schema, get schema change notifications, validate operations, find breaking changes, look for similar types, schema coverage

Translate APIs described by OpenAPI Specifications (OAS) into GraphQL

A collection of research on knowledge graphs

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Log-based transactional graph engine

Platform for designing and evaluating Graph Neural Networks (GNN)

A Graph Neural Network Library in Jax

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

🤖 A Python library for learning and evaluating knowledge graph embeddings

A curated list of resources for graph databases and graph computing tools

EliasDB a graph-based database.