liaopeiyuan / GALLinks
[ICML 2021] Information Obfuscation of Graph Neural Networks
☆37Updated 4 years ago
Alternatives and similar repositories for GAL
Users that are interested in GAL are comparing it to the libraries listed below
Sorting:
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆60Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 5 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 4 years ago
- ☆12Updated 6 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated 2 years ago
- ☆65Updated last year
- ICLR Reproducibility Challenge: Generative Adversarial Models For Learning Private And Fair Representations☆12Updated 6 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- ☆33Updated 8 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 5 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated 2 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated 2 years ago
- ☆50Updated 2 years ago
- Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.☆15Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- ☆31Updated 4 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆68Updated 5 months ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- ☆38Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- ☆16Updated 6 years ago
- Research prototype of deletion efficient k-means algorithms☆24Updated 5 years ago