A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.

Graph machine learning architectures for learning temporal and spatial patterns of brain activation from fMRI images. Two downstream tasks are implemented: (1) brain activation prediction duration language tasks (link prediction) and (2) performance prediction from neural patterns (graph regression)