Other Resources
===============

* **PyTorch Geometric** - PyTorch Geometric is a geometric deep learning extension library for `PyTorch <https://pytorch.org/>`_ [`Paper <https://arxiv.org/abs/1903.02428>`__, `GitHub <https://github.com/rusty1s/pytorch_geometric>`__, `Documentation <https://pytorch-geometric.readthedocs.io/en/latest/index.html>`__]
* **SNAP** - A general purpose network analysis and graph mining library [`Paper <https://arxiv.org/abs/1606.07550>`__, `GitHub <https://github.com/snap-stanford/snap-python>`__, `Documentation <https://snap.stanford.edu/snappy/doc/index.html>`__]
* **NetworkX** - A Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks [`Paper <http://conference.scipy.org/proceedings/SciPy2008/paper_2/>`__, `GitHub <https://github.com/networkx/networkx>`__, `Documentation <https://networkx.org/>`__]
* **CS224W** - Stanford University Machine Learning with Graphs (Winter 2021) [`Website <http://web.stanford.edu/class/cs224w/>`__]
* **GraphGym** - GraphGym is a platform for designing and evaluating Graph Neural Networks (GNNs) [`Paper <https://arxiv.org/abs/2011.08843>`__, `GitHub <https://github.com/snap-stanford/GraphGym>`__]