pathpyG

pathpyG is an Open Source package facilitating next-generation network analytics and graph learning for time series data on graphs.

Building on the industry-proven data structures and concepts of pytorch and torch_geometric, pathpyG makes it easier than ever to apply machine learning to temporal graph data.

pathpyG is jointly developed at University of Wuerzburg, Princeton University, and University of Zurich. The research behind pathpyG has been funded by the Swiss National Science Foundation via grant 176938.