xuanqing94 / AdvSSL
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
☆12Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for AdvSSL
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Updated 3 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Updated 4 years ago
- Active Learning for Graph Embedding☆33Updated 7 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Certifiable Robustness to Graph Perturbations☆13Updated 4 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- ☆12Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆37Updated 4 years ago
- Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".☆20Updated 4 years ago
- An Implementation of 1-Weisfeiler-Lehman Algorithm using Deep Graph Library☆9Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆127Updated 2 years ago
- The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.☆12Updated 6 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆40Updated 3 years ago
- Adversarial learning by utilizing model interpretation☆10Updated 6 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆20Updated 3 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆36Updated 3 years ago
- ☆18Updated 2 years ago
- ☆19Updated 2 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆22Updated 5 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆49Updated 4 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 4 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆26Updated 2 years ago
- Adversarial training for Graph Neural Networks☆59Updated 3 years ago
- ☆16Updated 4 years ago
- This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).☆12Updated 6 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago