chisam0217 / Graph-Universal-AttackLinks
☆18Updated 3 years ago
Alternatives and similar repositories for Graph-Universal-Attack
Users that are interested in Graph-Universal-Attack are comparing it to the libraries listed below
Sorting:
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆150Updated 3 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Updated 5 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221Updated 3 years ago
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- ☆12Updated 4 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆195Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 11 months ago
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 5 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 6 years ago
- ☆137Updated 5 years ago
- Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure☆20Updated 5 years ago
- ☆61Updated 4 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- HSML for ICML 2019☆51Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆118Updated 3 years ago
- Graph Star Net☆110Updated last year
- [ICML 2021] Information Obfuscation of Graph Neural Networks☆36Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- Meta-Learning for Few Shot Link Prediction☆49Updated 4 years ago