Reverse Dependencies of torch-scatter

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

• 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.
• BrainGB — Emory Brain Benchmark package
• caloutils — Metrics and tools for evaluation generative models for calorimeter shower based on pytorch_geometric.
• 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
• combustion — Helpers for PyTorch model training/testing
• deepmocca — DeepMOCCA
• DeepRank-GNN — Graph Neural network Scoring of protein-protein conformations
• fedgraph — Federated Graph Learning
• flexi-hash-embedding — PyTorch Extension Library of Optimized Scatter Operations
• gbiz-torch — general deep algorithm for business, marketing and advertisement
• genagg — A Learnable, Generalised Aggregation Module
• 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
• grape-chem — Tools for computational chemistry and deep learning.
• graph-attention-student — MEGAN: Multi Explanation Graph Attention Network
• 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).
• mixmil — Attention-based Multi-instance Mixed Models
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• 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
• openprotein — Open-Protein is an open source pre-training platform that supports multiple protein pre-training models and downstream tasks.
• pointersect — Plug-and-play point-cloud rendering
• pointtree — A Python Package for Tree Instance Segmentation in 3D Point Clouds.
• proteusAI — ProteusAI is a python package designed for AI driven protein engineering.
• ptgnn — Graph Neural Network library for PyTorch
• pypots — A Python Toolbox for Machine Learning on Partially-Observed Time Series
• pyTigerGraphBeta — Library to connect to TigerGraph databases
• pytorch-caldera — no summary
• pytorch-segmentation-models-trainer — Image segmentation models training of popular architectures.
• 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!
• syntheseus — A package for retrosynthetic planning.
• tgml — ML Workbench
• torch-points3d — Point Cloud Deep Learning Extension Library for PyTorch
• torchdrug — A powerful and flexible machine learning platform for drug discovery
• vectorlab — A lab for vectors.