danielzuegner / robust-gcnLinks
Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
☆43Updated 4 years ago
Alternatives and similar repositories for robust-gcn
Users that are interested in robust-gcn are comparing it to the libraries listed below
Sorting:
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 3 years ago
- ☆19Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 9 months ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆128Updated 3 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized …☆35Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆95Updated last year
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆149Updated 3 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆70Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 5 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated last year
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 5 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Active Learning for Graph Embedding☆33Updated 8 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆46Updated 6 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Certifiable Robustness to Graph Perturbations☆13Updated 5 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago