rusty1s / pytorch_sparseLinks
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
☆1,084Updated last month
Alternatives and similar repositories for pytorch_sparse
Users that are interested in pytorch_sparse are comparing it to the libraries listed below
Sorting:
- PyTorch Extension Library of Optimized Scatter Operations☆1,686Updated last month
- PyTorch Extension Library of Optimized Graph Cluster Algorithms☆891Updated last month
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,124Updated 2 weeks ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆972Updated last month
- Pytorch implementation of set transformer☆612Updated 5 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,029Updated 4 months ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆642Updated last year
- functorch is JAX-like composable function transforms for PyTorch.☆1,438Updated 3 weeks ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,177Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 3 months ago
- Profiling and inspecting memory in pytorch☆1,067Updated last week
- [NeurIPS'19] Deep Equilibrium Models☆758Updated 3 years ago
- Pytorch library for fast transformer implementations☆1,727Updated 2 years ago
- A Graph Neural Network Library in Jax☆1,442Updated last year
- Python library assists deep learning on graphs☆566Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- Low-Level Graph Neural Network Operators for PyG☆210Updated this week
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,148Updated 3 years ago
- Fast, differentiable sorting and ranking in PyTorch☆832Updated 3 months ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆301Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,243Updated 4 years ago
- A PyTorch Graph Neural Network Library☆374Updated last week
- ☆427Updated 6 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆496Updated 3 years ago
- Geometric loss functions between point clouds, images and volumes☆649Updated 4 months ago
- Long Range Arena for Benchmarking Efficient Transformers☆764Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆994Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated 2 years ago
- Constrained optimization toolkit for PyTorch☆697Updated last month