GraphWorld: Advances in Graph Benchmarking

John Palowitch and Anton Tsitsulin, Research Scientists, Google Research, Graph Mining team

Graphs are very common representations of natural systems that have connected relational components, such as social networks, traffic infrastructure, molecules, and the internet. Graph neural networks (GNNs) are powerful machine learning (ML) models for graphs that leverage their inherent connections to incorporate context into predictions about items within the graph or the graph as a whole. GNNs have been effectively used to discover new drugs, help mathematicians prove …

benchmarking graph graph mining machine learning