lightning/pl_examples/pytorch_ecosystem/pytorch_geometric/README.md

Pytorch Geometric examples with Lighting

Introduction

PyTorch Geometric (PyG) is a geometric deep learning extension library for PyTorch. It relies on lower level libraries such as

• PyTorch Cluster: A package consists of a small extension library of highly optimized graph cluster algorithms in Pytorch
• PyTorch Sparse: A package consists of a small extension library of optimized sparse matrix operations with autograd support in Pytorch
• PyTorch Scatter: A package consists of a small extension library of highly optimized sparse update (scatter and segment) operations for the use in PyTorch

Setup

pyenv install 3.7.8
pyenv local 3.7.8
python -m venv
source .venv/bin/activate
poetry install

Run example

python cora_dna.py

Current example lists

DATASET	MODEL	TASK	DATASET DESCRIPTION	MODEL DESCRIPTION
Cora	DNA	Node Classification	The citation network datasets "Cora", "CiteSeer" and "PubMed" from the "Revisiting Semi-Supervised Learning with Graph Embeddings" https://arxiv.org/abs/1603.08861	The dynamic neighborhood aggregation operator from the "Just Jump: Towards Dynamic Neighborhood Aggregation in Graph Neural Networks"

DATASET SIZES

 16M    ./cora