rusty1s / pytorch_clusterLinks
PyTorch Extension Library of Optimized Graph Cluster Algorithms
☆888Updated last week
Alternatives and similar repositories for pytorch_cluster
Users that are interested in pytorch_cluster are comparing it to the libraries listed below
Sorting:
- PyTorch Extension Library of Optimized Scatter Operations☆1,684Updated last week
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,082Updated last week
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,173Updated 3 years ago
- Geometric loss functions between point clouds, images and volumes☆646Updated 4 months ago
- Pytorch implementation of Graph U-Nets (ICML19)☆537Updated 4 years ago
- Pytorch implementation of set transformer☆607Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆967Updated 2 weeks ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆477Updated 2 years ago
- Implementation of "Deep Graph Matching Consensus" in PyTorch☆269Updated 3 years ago
- Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch☆181Updated last week
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆724Updated 3 years ago
- PyTorch implementation of DGCNN☆390Updated last year
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,119Updated this week
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 2 months ago
- ☆426Updated 6 years ago
- Edge-Conditioned Convolutions on Graphs☆230Updated 6 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,025Updated 3 months ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 5 months ago
- A 100x faster SVD for PyTorch⚡️☆475Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,239Updated 4 years ago
- ☆495Updated 4 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆636Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆801Updated 2 years ago
- ☆293Updated 2 years ago
- Python library assists deep learning on graphs☆563Updated last year
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,029Updated 5 years ago
- A graph matching library for Python☆207Updated last year
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago