Each folder contains code for experiments using Graph Neural Networks.

Graph_classification - Use Kernels for GNNs to classify graph datasets.

Event_stream - Apply Diffusion loss over Asynchronous Event-based Graph Neural Networks to classify eventstream data (Ncaltech and Ncars dataset).

Pose_Estimation - Use Diffusion loss for finetuning event-camera-dataset.