pytorch_geometric VS molecule-generation

Compare pytorch_geometric vs molecule-generation 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)

molecule-generation

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation (by microsoft)
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pytorch_geometric molecule-generation
1 1
14,506 240
- -0.4%
9.8 5.6
about 2 years ago 4 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

molecule-generation

Posts with mentions or reviews of molecule-generation. 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 molecule-generation you can also consider the following projects:

pytorch_geometric - Graph Neural Network Library for PyTorch

denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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

MidiTok - MIDI / symbolic music tokenizers for Deep Learning models 🎶

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]

GRAN - Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

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

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.

tutorials - PyTorch tutorials.

GNNs-Recipe - 🟠 A study guide to learn about Graph Neural Networks (GNNs)

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

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