manzilzaheer / DeepSetsLinks
☆309Updated 2 years ago
Alternatives and similar repositories for DeepSets
Users that are interested in DeepSets are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of set transformer☆647Updated 5 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆478Updated 2 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆381Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆200Updated last year
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆348Updated 4 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- ☆432Updated 6 years ago
- Code for Optimal Transport for structured data with application on graphs☆104Updated 3 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Updated 3 years ago
- Hyperbolic Graph Neural Networks☆248Updated 6 years ago
- Python toolbox for sampling Determinantal Point Processes☆236Updated last year
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆148Updated 2 years ago
- Hyperbolic Hierarchical Clustering.☆206Updated 2 years ago
- Hyperbolic Embeddings☆392Updated 2 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆183Updated 5 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆315Updated 6 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,027Updated 5 months ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆81Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆73Updated 6 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆101Updated 5 years ago
- Neural relational inference for interacting systems - pytorch☆767Updated 6 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- Geometric loss functions between point clouds, images and volumes☆674Updated 9 months ago
- Deep network that performs spectral clustering☆329Updated 2 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆287Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 5 years ago
- Contrastive Learning of Structured World Models☆396Updated 5 years ago