junhocho / HGCAELinks
HGCAE Pytorch implementation. CVPR2021 accepted.
☆44Updated 2 years ago
Alternatives and similar repositories for HGCAE
Users that are interested in HGCAE are comparing it to the libraries listed below
Sorting:
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated last year
- informal exposition of Weisfeiler-Leman similarity☆28Updated 4 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆60Updated 3 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆45Updated 5 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆131Updated 5 years ago
- Papers and Codes for the deep learning in hyperbolic space☆178Updated 3 years ago
- ☆15Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆72Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆64Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- [ICLR 2021] Concept Learners for Few-Shot Learning☆115Updated 2 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆60Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- pytorch implementation of manifold-mixup☆22Updated 2 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Weakly Supervised Contrastive Learning☆43Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆78Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆64Updated 2 years ago
- ☆25Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago