graph-adversarial-learning-literature
Graph learning research
An exploration of adversarial learning techniques applied to graph data structures
8 stars
3 watching
3 forks
last commit: over 6 years agoLinked from 1 awesome list
jnv/listsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |
 qdata/adversarialdnn-playground | An online tool allowing users to visualize and generate adversarial examples to deceive neural networks | 130 |
| yingtongdou/nash-detect | An algorithm for detecting spam reviews using reinforcement learning to train robust detectors against strategically synthesized attacks. | 118 |
 yandongliu/learningjs | A JavaScript implementation of machine learning algorithms, including logistic regression and decision tree models. | 65 |
| yingtongdou/care-gnn | An implementation of a graph neural network-based fraud detector designed to counter camouflaged fraudsters | 250 |
 hongshenghu/membership-inference-machine-learning-literature | A curated collection of papers on membership inference attacks and defenses in machine learning models. | 296 |
 oxigraph/oxigraph | A SPARQL-compliant graph database implemented as a Rust library and exposed to multiple programming languages. | 1,070 |
 fedml-ai/spreadgnn | A framework for decentralized multi-task learning of graph neural networks on molecular data with guaranteed convergence | 44 |
 gorkemalgan/deep_learning_with_noisy_labels_literature | A collection of papers and repos on deep learning with noisy labels. | 235 |
 dengjianyuan/survey_ai_drug_discovery | Compiles works on applying artificial intelligence in drug discovery to various areas | 314 |
 cluebenchmark/electra | Trains and evaluates a Chinese language model using adversarial training on a large corpus. | 140 |
 prinsphield/adversarial_reprogramming | This project enables reprogramming of pre-trained neural networks to work on new tasks by fine-tuning them on smaller datasets. | 33 |
 yuetan031/fedstar | This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing. | 60 |
 deepgraphlearning/gmnn | A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning. | 403 |
 supriya-gdptl/stwalk | An implementation of an algorithm for learning trajectory representations in temporal graphs | 18 |