ZW-ZHANG / RobustGCNLinks
This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.
☆10Updated 4 years ago
Alternatives and similar repositories for RobustGCN
Users that are interested in RobustGCN are comparing it to the libraries listed below
Sorting:
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆71Updated 2 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 3 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58Updated 4 years ago
- Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure☆20Updated 5 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆153Updated 3 years ago
- Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks☆49Updated 4 years ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆29Updated 2 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".☆20Updated 5 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 3 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆77Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 5 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆54Updated 4 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 2 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated 2 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆19Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Updated last year
- Unsupervised Domain Adaptation on Graphs☆15Updated 3 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).☆11Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)☆18Updated 4 years ago
- ☆58Updated 6 years ago