A pytorch adversarial library for attack and defense methods on images a...
Papers about graph transformers.
A scikit-learn compatible library for graph kernels
Papers about explainability of GNNs
Implementation of the KDD 2020 paper "Graph Structure Learning for Robus...
Distributed Temporal Graph Analytics with Apache Flink
Implementation of the paper "Adversarial Attacks on Neural Networks for ...
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
Papers on Graph Analytics, Mining, and Learning
Python Implementation for Random Walk with Restart (RWR)
A lightweight implementation of Walklets from "Don't Walk Skip! Online L...
GraMi is a novel framework for frequent subgraph mining in a single larg...
Implementation of paper "Self-supervised Learning on Graphs:Deep Insigh...
A curated collection of machine learning resources, including notebooks,...