HGraph(HybridGraph) is a Pregel-like system which merges Pulling/Pushing for I/O-Efficient distributed and iterative graph computing.

A list of awesome GNN systems.

Plato: A Research Framework for Federated Learning

General Strategy for Unlearning in Graph Neural Networks

Existing Literature about Machine Unlearning

A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

Distributed Multi-GPU GNN Framework

Simple GAT

This project is a work, which reimplements the experiment excuted in the paper "Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Model".

Accelerating Distributed Machine Learning with Data Sketches