  Machine Learning is a rapidly expanding field with a wide range of
applications in science. In the field of physics, the Large Hadron Collider,
the world's largest particle accelerator, utilizes Neural Networks for various
tasks, including flavour tagging. Flavour tagging is the process of identifying
the flavour of the hadron that initiates a jet in a collision event, and it is
an essential aspect of many Standard Model and Beyond the Standard Model
research. Graph Neural Networks are currently the primary machine-learning tool
used for flavour tagging. Here, we present the AUTOGRAPH pipeline, a completely
customizable tool designed with a user-friendly interface to provide easy
access to the Graph Neural Networks algorithm used for flavour tagging.
