danielzuegner / nettackLinks
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
☆221Updated 3 years ago
Alternatives and similar repositories for nettack
Users that are interested in nettack are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆154Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆60Updated 6 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆391Updated last year
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35Updated 4 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆860Updated 2 years ago
- A curated collection of adversarial attack and defense on graph data.☆577Updated 2 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Updated 4 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Updated last year
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆98Updated 2 years ago
- ☆18Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆303Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 5 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆71Updated 2 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆197Updated 5 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated last year
- Matlab code for the method proposed in "Final: Fast attributed network alignment" (KDD'16)☆31Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- walk2friends: Inferring Social Links from Mobility Profiles☆22Updated 7 years ago
- Representation-Learning-on-Heterogeneous-Graph☆444Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆490Updated 7 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143Updated 7 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆334Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆326Updated 2 years ago
- A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)☆79Updated 6 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Updated 5 years ago