Reverse Dependencies of torch-sparse

The following projects have a declared dependency on torch-sparse:

• adbpyg-adapter — Convert ArangoDB graphs to PyG & vice-versa.
• aq-geometric — Geometric deep learning on air quality data.
• big-graph-dataset — A collection of graph datasets in torch_geometric format.
• bnpm — A library of useful modules for data analysis.
• borch — Probabilistic programming using pytorch.
• BrainGB — Emory Brain Benchmark package
• cellvgae — CellVGAE uses the connectivity between cells (such as k-nearest neighbour graphs) with gene expression values as node features to learn high-quality cell representations in a lower-dimensional space
• chebai — no summary
• class-resolver — Lookup and instantiate classes with style.
• deepmocca — DeepMOCCA
• DeepRank-GNN — Graph Neural network Scoring of protein-protein conformations
• fedgraph — Federated Graph Learning
• gbiz-torch — general deep algorithm for business, marketing and advertisement
• genesurf — A self-supervised deep learning method for reference-free deconvolution.
• geometric-vector-perceptron — Geometric Vector Perceptron - Pytorch
• geospaNN — A PyThon implementation of NNGLS
• GNNSubNet — Disease Subnetwork Detection with Explainable Graph Neural Networks
• grab-sampler — Optimal Permutation-based SGD Data Sampler for PyTorch
• graph-diffusers — Diffusion operators for graph machine learning based on GraphBLAS
• graphium — Graphium: Scaling molecular GNNs to infinity.
• graphmuse — GraphMuse is a Python Library for Graph Deep Learning on Symbolic Music.
• H2GB — A graph benchmark library for heterophilic and heterogeneous graphs
• hybrid-graph — A python package for accessing and Hybrid-graph Datasets and train-eval framework for GNNs
• lightning-flash — Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes.
• matgraphdb — Welcome to MatGraphDB, a powerful Python package designed to interface with primary and graph databases for advanced material analysis.
• misato-dataset — UNOFFICIAL Misato dataset pypi package. For instructions on dataset download see official GitHub page (https://github.com/t7morgen/misato-dataset).
• MolGNN-update — no summary
• muzlin — Muzlin: a filtering toolset for semantic machine learning
• NCPNet — Learning synapse-level brain circuit networks. Include training, inferring, evaluation, and visualization.
• NodeCoder — A PyTorch implementation of NodeCoder pipeline, a Graph Convolutional Network (GCN) framework for protein residue characterization.
• openpom — Open-source Principal Odor Map models for Olfaction
• pypots — A Python Toolbox for Machine Learning on Partially-Observed Time Series
• pyTigerGraphBeta — Library to connect to TigerGraph databases
• scReGAT — A GAT-based computational framework to predict long-range gene regulatory relationships
• semsim — A free tool for sentence similarity evaluation
• socialED — A Python Library for Social Event Detection
• SpaceFlow — Identifying Spatiotemporal Patterns of Cells for Spatial Transcriptome Data
• spatialsurf — A self-supervised deep learning method for reference-free deconvolution.
• STACCI — STACCI for STCase
• STCase — Spatial Transcriptomics cell-cell Communication and subtype exploration
• stClinic — stClinic for dissecting clinically relevant niches by integrating spatial multi-slice multi-omics data
• syn-nli — package for the paper Syntax Aware Natural Language Inference@<link>
• synthcity — Synthetic data generator and evaluator!
• tgml — ML Workbench
• torch-geometric-signed-directed — An Extension Library for PyTorch Geometric on signed and directed networks.
• torch-points3d — Point Cloud Deep Learning Extension Library for PyTorch
• vectorlab — A lab for vectors.