rusty1s / pytorch_cluster
PyTorch Extension Library of Optimized Graph Cluster Algorithms
☆846Updated last month
Alternatives and similar repositories for pytorch_cluster:
Users that are interested in pytorch_cluster are comparing it to the libraries listed below
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,036Updated last month
- PyTorch Extension Library of Optimized Scatter Operations☆1,604Updated last month
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,146Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆836Updated 3 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆791Updated 2 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆528Updated 4 years ago
- Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch☆175Updated 3 months ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆709Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆335Updated 3 years ago
- Pytorch implementation of set transformer☆562Updated 5 years ago
- ☆485Updated 4 years ago
- PyTorch implementation of DGCNN☆375Updated last year
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆631Updated 5 years ago
- A PyTorch Graph Neural Network Library☆374Updated 3 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,003Updated 4 years ago
- Strategies for Pre-training Graph Neural Networks☆985Updated last year
- ☆417Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆369Updated last year
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆778Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- Graph Convolutional Networks (GCNs)☆911Updated 7 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆661Updated 2 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆291Updated 7 years ago
- Edge-Conditioned Convolutions on Graphs☆231Updated 6 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆604Updated 6 months ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆268Updated 3 months ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,069Updated this week
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆461Updated 6 years ago