abojchevski / graph_certLinks
Certifiable Robustness to Graph Perturbations
☆14Updated 5 years ago
Alternatives and similar repositories for graph_cert
Users that are interested in graph_cert are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆60Updated 6 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- LDP for graph classification☆23Updated 6 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Official implementation of our FLAG paper (CVPR2022)☆144Updated 3 years ago
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 6 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆129Updated 3 years ago
- Implicit Graph Neural Networks☆64Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆154Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 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
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 6 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35Updated 4 years ago