Category

Explainable AI

Methods that show why a model made a prediction, such as CAM and Grad-CAM, applied to real architectures and checked for whether the explanation holds.

September 15, 2026 Explainable AI

Explainable AI for Graph Neural Networks: Example Use of CAM and Grad-CAM

Class activation maps are almost always explained on images. This post applies CAM and Grad-CAM to a spatio-temporal graph network for human skeleton data, with the math, PyTorch code, and the architecture detail that decides whether the two methods give the same answer.

Explainable AI Graph Neural Networks Graph Convolutional Networks Class Activation Map Human Pose Estimation Grad-CAM PyTorch Skeleton Data Human Activity Recognition Human Action Recognition Deep Learning