rjiang03 / HCL-OT
☆11Updated last year
Alternatives and similar repositories for HCL-OT:
Users that are interested in HCL-OT are comparing it to the libraries listed below
- A list of papers for group meeting☆15Updated last month
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Updated 10 months ago
- Learning Autoencoders with Relational Regularization☆45Updated 4 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆153Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- ☆24Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆129Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- [AAAI2023 Oral] The official implementation of "Hierarchical Contrastive Learning for Temporal Point Processes"☆22Updated 3 weeks ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆40Updated last year
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 4 years ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆31Updated last year
- Disentangled gEnerative cAusal Representation (DEAR)☆57Updated 2 years ago
- ☆37Updated last year
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆43Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆38Updated last year
- ☆25Updated 5 years ago
- ☆10Updated 2 years ago
- Repository for conditional transport☆14Updated 3 years ago
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10Updated 8 months ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆44Updated 4 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆23Updated last month
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆78Updated 3 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆44Updated 4 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆33Updated 2 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆47Updated last year
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated last year
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago