pytorch_geometric VS GNNs-Recipe

Compare pytorch_geometric vs GNNs-Recipe and see what are their differences.

pytorch_geometric

Graph Neural Network Library for PyTorch [Moved to: https://github.com/pyg-team/pytorch_geometric] (by rusty1s)
Pytorch geometric-deep-learning graph-neural-networks Deep Learning graph-convolutional-networks

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GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs) (by dair-ai)
graph-neural-networks Deep Learning Machine Learning Graph graph-convolutional-networks
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pytorch_geometric GNNs-Recipe
1 3
14,506 1,052
- 2.4%
9.8 0.0
about 2 years ago over 1 year ago
Python
MIT License Creative Commons Zero v1.0 Universal
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pytorch_geometric

Posts with mentions or reviews of pytorch_geometric. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-02.

GNNs-Recipe

Posts with mentions or reviews of GNNs-Recipe. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pytorch_geometric and GNNs-Recipe you can also consider the following projects:

pytorch_geometric - Graph Neural Network Library for PyTorch

euler - A distributed graph deep learning framework.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]

graph-fraud-detection-papers - A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

tutorials - PyTorch tutorials.

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

molecule-generation - Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

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