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
- [AAAI2023 Oral] The official implementation of "Hierarchical Contrastive Learning for Temporal Point Processes"☆22Updated last month
- Learning Autoencoders with Relational Regularization☆45Updated 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
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Updated 10 months ago
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10Updated 8 months ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆31Updated last year
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆153Updated 4 years ago
- Releated Paper: (AAAI2020) Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View.☆25Updated 4 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆40Updated last year
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆38Updated last year
- Implementation of Implicit Graphon Neural Representation☆12Updated last year
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆21Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆129Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 4 years ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated 11 months ago
- ☆37Updated last year
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆58Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated last year
- ☆18Updated 3 years ago
- ☆24Updated 3 years ago
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- Repository for conditional transport☆14Updated 3 years 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
- Code for SGDD☆23Updated last year