pygcn | Graph Convolutional Networks in PyTorch

#!/usr/bin/env python
import gcn

# Define your custom handler here.
@gcn.include_notice_types(
    gcn.notice_types.FERMI_GBM_FLT_POS,  # Fermi GBM localization (flight)
    gcn.notice_types.FERMI_GBM_GND_POS,  # Fermi GBM localization (ground)
      

#!/usr/bin/env python
import gcn

# Define your custom handler here.
def handler(payload, root):
    # Get the IVORN, or unique VOEvent ID, and print it.
    print(root.attrib['ivorn'])

    # Print all of the event attributes.
    for param in root.  

"""
.. _model-gcn:

Graph Convolutional Network
====================================

**Author:** `Qi Huang `_, `Minjie Wang  `_,
Yu Gai, Quan Gan, Zheng Zhang

.. warning::

    The tutorial aims at gaining insights into the paper, with c