yangco-le / AdvLatGANLinks
[NeurIPS 2022 Spotlight] Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
☆17Updated 2 years ago
Alternatives and similar repositories for AdvLatGAN
Users that are interested in AdvLatGAN are comparing it to the libraries listed below
Sorting:
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆22Updated 2 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆34Updated last year
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated 2 years ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 3 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆94Updated 2 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆83Updated 2 years ago
- A list of papers for group meeting☆18Updated 3 weeks ago
- ☆33Updated 4 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆41Updated last year
- clone/download repositories from https://anonymous.4open.science/☆86Updated 3 years ago
- [ICML2024] Learning Divergence Fields for Shift-Robust Graph Representations☆12Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆202Updated 8 months ago
- Towards understanding modern generative data augmentation techniques.☆27Updated 2 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated last year
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Updated 2 years ago
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆11Updated last year
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆33Updated 4 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- ☆24Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 4 months ago
- ☆31Updated 5 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆22Updated last year
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆33Updated 2 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆25Updated 4 years ago