current Systems for Graph Neural Networks In-GPU sampling and training, distributed multi-GPU systems Systems for general graph mining Programming abstractions, scalability, performance distributed database management systems Elasticity, caching, storage disaggregation Graph storage Real-time analytics, transactional graph storage Model fusion Multi-task learning, inference past fault tolerant replication Zookeeper, Byzantine fault tolerance, eventual linearizability stream processing systems Load balancing with partial key grouping