manzilzaheer / DeepSets
☆292Updated 2 years ago
Alternatives and similar repositories for DeepSets:
Users that are interested in DeepSets are comparing it to the libraries listed below
- Pytorch implementation of set transformer☆582Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆69Updated 6 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆362Updated 5 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆344Updated 3 years ago
- Hyperbolic Graph Neural Networks☆233Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆476Updated last year
- Geometric loss functions between point clouds, images and volumes☆622Updated last week
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆176Updated 4 years ago
- ☆421Updated 6 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated last year
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆142Updated 2 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆290Updated 7 years ago
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 years ago
- Hyperbolic Embeddings☆382Updated last year
- Hyperbolic Hierarchical Clustering.☆199Updated last year
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- Memory-Based Graph Networks☆102Updated 2 years ago
- PyTorch code to run synthetic experiments.☆420Updated 3 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆917Updated 11 months ago
- ☆271Updated 2 years ago
- Approximating Wasserstein distances with PyTorch☆458Updated 2 years ago
- Python toolbox for sampling Determinantal Point Processes☆226Updated 8 months ago
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,056Updated 2 weeks ago