AIMPer73 / Geometric-Deep-Learning-Grids-Groups-Graphs-Geodesics-and-Gauges
☆41Updated 3 years ago
Alternatives and similar repositories for Geometric-Deep-Learning-Grids-Groups-Graphs-Geodesics-and-Gauges
Users that are interested in Geometric-Deep-Learning-Grids-Groups-Graphs-Geodesics-and-Gauges are comparing it to the libraries listed below
Sorting:
- ☆60Updated 2 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".☆60Updated 10 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- ☆34Updated 3 years ago
- SignNet and BasisNet☆97Updated last year
- ☆62Updated 4 years ago
- Score-based generative models for compact manifolds☆110Updated last year
- Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)☆29Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆58Updated 11 months ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆27Updated 2 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆86Updated 3 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)☆58Updated 5 years ago
- ☆12Updated 2 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆104Updated 2 years ago
- ☆43Updated 7 years ago
- The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.☆32Updated 2 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆25Updated 2 years ago
- Edge-Augmented Graph Transformer☆76Updated last year
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆220Updated 11 months ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆169Updated last year
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆131Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated last year
- An Elegant Library for Bayesian Deep Learning in PyTorch☆25Updated 2 years ago