PyG Insights | Sumble

What is PyG?

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to graph-structured data. It provides data handling, learning methods, and utilities to achieve high performance and is commonly used in areas such as social network analysis, drug discovery, and recommender systems.

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What other technologies are related to PyG?

PyG Competitor Technologies

DGL

Deep Graph Library (DGL) is another framework for deep learning on graphs, providing similar functionalities to PyG. Therefore, it is a direct competitor.

mentioned alongside PyG in 45% (102) of relevant job posts

TensorFlow

TensorFlow is an alternative deep learning framework that, while not directly focused on graphs like PyG, provides graph-related functionalities and competes in the broader deep learning space.

mentioned alongside PyG in 0% (136) of relevant job posts

PyG Complementary Technologies

PyTorch

PyG is built on top of PyTorch, leveraging its tensor operations and automatic differentiation capabilities. It's strongly complementary because PyG depends on PyTorch.

mentioned alongside PyG in 0% (211) of relevant job posts