ganmodokix / gwae
PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)
☆43Updated 2 years ago
Alternatives and similar repositories for gwae:
Users that are interested in gwae are comparing it to the libraries listed below
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆48Updated last year
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆221Updated last year
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆41Updated last year
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆96Updated 3 years ago
- Implementation of Implicit Graphon Neural Representation☆12Updated last year
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆104Updated last year
- Disentangled gEnerative cAusal Representation (DEAR)☆59Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 3 years ago
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆25Updated 2 months ago
- Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023☆29Updated last year
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆35Updated 4 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆22Updated 4 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆50Updated 4 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆32Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆26Updated 2 years ago
- ☆17Updated last year
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆46Updated 8 months ago
- ☆66Updated last year
- Official Pytorch implementation of NeuralWalker☆28Updated 8 months ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆15Updated 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 9 months ago
- ☆52Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Implementation of a model to make VAE and GMM train from each other☆27Updated 2 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 11 months ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆34Updated 2 years ago
- ☆30Updated 4 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆106Updated last year