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
  ☆1,635Updated 2 weeks ago
• rusty1s / pytorch_cluster
  PyTorch Extension Library of Optimized Graph Cluster Algorithms
  ☆865Updated 2 weeks ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,091Updated last week
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆919Updated last year
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,056Updated 9 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,998Updated 4 months ago
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆621Updated 9 months ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆545Updated 4 years ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆584Updated 5 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,424Updated this week
• lucidrains / performer-pytorch
  An implementation of Performer, a linear attention-based transformer, in Pytorch
  ☆1,125Updated 3 years ago
• idiap / fast-transformers
  Pytorch library for fast transformer implementations
  ☆1,701Updated 2 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆748Updated 2 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆348Updated 2 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆842Updated 3 years ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆194Updated this week
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,018Updated 4 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆555Updated last year
• rampasek / GraphGPS
  Recipe for a General, Powerful, Scalable Graph Transformer
  ☆731Updated 10 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
  ☆1,159Updated 2 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆600Updated last year
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆808Updated last year
• lucidrains / linear-attention-transformer
  Transformer based on a variant of attention that is linear complexity in respect to sequence length
  ☆763Updated last year
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆288Updated 4 years ago
• google-research / long-range-arena
  Long Range Arena for Benchmarking Efficient Transformers
  ☆751Updated last year
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆622Updated 3 weeks ago
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆958Updated 3 years ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,615Updated 3 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…
  ☆484Updated 2 years ago
• quiver-team / torch-quiver
  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
  ☆299Updated last year