Reverse Dependencies of torch-scatter
The following projects have a declared dependency on torch-scatter:
- adbpyg-adapter — Convert ArangoDB graphs to PyG & vice-versa.
- 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
- geometric-vector-perceptron — Geometric Vector Perceptron - Pytorch
- geospaNN — A PyThon implementation of NNGLS
- GNNSubNet — Disease Subnetwork Detection with Explainable Graph Neural Networks
- graph-attention-student — MEGAN: Multi Explanation Graph Attention Network
- graphium — Graphium: Scaling molecular GNNs to infinity.
- 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.
- 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
- 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.
- 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
- ptgnn — Graph Neural Network library for PyTorch
- pypots — A Python Toolbox for Data Mining 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
- SpaceFlow — Identifying Spatiotemporal Patterns of Cells for Spatial Transcriptome Data
- STACCI — STACCI for STCase
- 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.
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