manzilzaheer / DeepSets
☆289Updated 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☆571Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆68Updated 6 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- ☆421Updated 6 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆361Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated last year
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆343Updated 3 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Hyperbolic Graph Neural Networks☆231Updated 5 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆175Updated 4 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆477Updated last year
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆717Updated 3 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 6 months ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆270Updated last year
- PyTorch Extension Library of Optimized Graph Cluster Algorithms☆859Updated 2 months ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Weekly reading group on Graphs at Mila☆279Updated 5 years ago
- Neural relational inference for interacting systems - pytorch☆753Updated 5 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆139Updated 2 years ago
- Graph Markov Neural Networks☆408Updated 4 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆136Updated 4 years ago
- Python toolbox for sampling Determinantal Point Processes☆224Updated 7 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆346Updated 2 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆134Updated 5 years ago
- Edge-Conditioned Convolutions on Graphs☆233Updated 6 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆291Updated 7 years ago
- Deep neural network kernel for Gaussian process☆203Updated 4 years ago
- Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch☆178Updated 4 months ago