Alternatives and similar repositories for pytorch_sparse

Users that are interested in pytorch_sparse are comparing it to the libraries listed below

• rusty1s / pytorch_scatter
  PyTorch Extension Library of Optimized Scatter Operations
  ☆1,700Updated 3 months ago
• rusty1s / pytorch_cluster
  PyTorch Extension Library of Optimized Graph Cluster Algorithms
  ☆899Updated 3 months ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,139Updated last week
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆999Updated 3 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,048Updated 6 months ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆632Updated 5 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,436Updated 2 months ago
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,074Updated 2 months ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆844Updated 5 months ago
• lightaime / deep_gcns_torch
  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
  ☆1,181Updated 3 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆846Updated 3 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆612Updated last year
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆652Updated last year
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆565Updated 2 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆776Updated 3 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆355Updated 5 months ago
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆376Updated 2 months ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆217Updated this week
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,451Updated last year
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆701Updated 3 months ago
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆292Updated 4 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆663Updated 6 months ago
• EdisonLeeeee / GraphGallery
  GraphGallery is a gallery for benchmarking Graph Neural Networks
  ☆472Updated 2 years ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,853Updated 2 years ago
• quiver-team / torch-quiver
  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
  ☆301Updated 2 years ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆499Updated 3 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,634Updated 2 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆657Updated 3 years ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,045Updated 2 years ago
• dgasmith / opt_einsum
  ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
  ☆954Updated 4 months ago