ml-pytorch-geometric

Name: ml-pytorch-geometric
Author: nishide-dev

Complete guide for PyTorch Geometric (PyG) - graph neural networks, message passing, large-scale distributed graph learning, Lightning integration, and heterogeneous graphs

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Updated 2 months ago

View on GitHub ↗License: MIT

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PyTorch Geometric for Graph Neural Networks

Overview

PyTorch Geometric (PyG) is the standard library for geometric deep learning with PyTorch. It provides optimized implementations of Graph Neural Networks (GNNs), efficient data structures for graph data, and scalable solutions for large-scale graph learning.

Key Capabilities:

Efficient sparse tensor operations for graphs
100+ pre-implemented GNN layers (GCN, GAT, GraphSAGE, etc.)
Scalable data loaders with neighbor sampling

[Description truncada. Veja o README completo no GitHub.]

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