danielzuegner / robust-gcn-structureLinks
☆12Updated 4 years ago
Alternatives and similar repositories for robust-gcn-structure
Users that are interested in robust-gcn-structure are comparing it to the libraries listed below
Sorting:
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆60Updated 5 years ago
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆152Updated 3 years ago
- Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized …☆36Updated 2 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35Updated 4 years ago
- ☆18Updated 3 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆220Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 3 years ago
- Certifiable Robustness to Graph Perturbations☆14Updated 5 years ago
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 5 years ago
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆96Updated last year
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆26Updated 7 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆87Updated 11 months ago
- Implicit Graph Neural Networks☆64Updated 3 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆96Updated 3 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆387Updated last year
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated 2 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago
- This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020)…☆18Updated 3 years ago