graph-mining topic

Distributed Temporal Graph Analytics with Apache Flink

dbs-leipzig

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

ChandlerBang

A scikit-learn compatible library for graph kernels

ysig

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

safreita1

Papers about explainability of GNNs

flyingdoog

A pytorch adversarial library for attack and defense methods on images and graphs

DSE-MSU

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

danielzuegner

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

ChandlerBang

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

danielzuegner

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

betterenvi