Graph Neural Network Library for PyTorch
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Updated
Jun 12, 2024 - Python
Graph Neural Network Library for PyTorch
Multi-language library for the calculation of spherical harmonics in Cartesian coordinates
Redes convolucionales definidas en grafos para la predicción de nuevas asociaciones gen-enfermedad
A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.
[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
MaSIF-neosurf: surface-based protein design for ternary complexes.
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Protein Graph Library
gRNAde: Geometric Deep Learning for 3D RNA inverse design
A curated list of topological deep learning (TDL) resources and links.
Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
Contextualizing protein representations using deep learning on protein networks and single-cell data
设计一下怎么毕业
Library to make any existing neural network architecture equivariant
A library for differentiable robotics.
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
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