DeepInteract VS pytorch_geometric

Compare DeepInteract vs pytorch_geometric 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)
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DeepInteract pytorch_geometric
1 1
53 14,506
- -
0.0 9.8
almost 2 years ago about 2 years ago
Python Python
GNU General Public License v3.0 only 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DeepInteract

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

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.

What are some alternatives?

When comparing DeepInteract and pytorch_geometric you can also consider the following projects:

EquiBind - EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

pytorch_geometric - Graph Neural Network Library for PyTorch

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]

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

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)

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.

ogb - Benchmark datasets, data loaders, and evaluators for graph machine learning

GreatX - A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).