naiqili / DGPGLinks
Code for paper Stochastic Deep Gaussian Processes over Graphs
☆21Updated 3 years ago
Alternatives and similar repositories for DGPG
Users that are interested in DGPG are comparing it to the libraries listed below
Sorting:
- PyTorch for Neural Process in ICML 2018☆20Updated 6 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆61Updated 2 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Updated 5 years ago
- Integrated gradients attribution method implemented in PyTorch☆27Updated 4 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆13Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆39Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆37Updated 3 years ago
- ☆11Updated 4 years ago
- Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang☆18Updated 4 years ago
- ☆98Updated last year
- ☆96Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆103Updated 4 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆27Updated 3 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- Distributed Feedback-Looped Networks☆10Updated 5 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 5 years ago
- The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)☆18Updated 4 years ago
- HSML for ICML 2019☆51Updated 6 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago