sw-gong / MoNet
Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
☆58Updated 5 years ago
Alternatives and similar repositories for MoNet
Users that are interested in MoNet are comparing it to the libraries listed below
Sorting:
- The official implementation of the SGCN architecture.☆62Updated 3 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch☆179Updated 3 weeks ago
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- SignNet and BasisNet☆97Updated last year
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- ☆54Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 2 months ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Topological Graph Neural Networks (ICLR 2022)☆123Updated 2 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- Edge-Conditioned Convolutions on Graphs☆233Updated 6 years ago
- ☆56Updated 2 years ago
- ☆62Updated 4 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Neural Graph Differential Equations (Neural GDEs)☆201Updated 4 years ago
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).☆23Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- ☆25Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- ☆62Updated last year
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago