A pytorch adversarial library for attack and defense methods on images and graphs
-
Updated
Apr 25, 2024 - Python
A pytorch adversarial library for attack and defense methods on images and graphs
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A scikit-learn compatible library for graph kernels
Distributed Temporal Graph Analytics with Apache Flink
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
Papers about explainability of GNNs
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
Papers about graph transformers.
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contribut…
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as frequent patterns, Compared to subgraphs, patterns offer a more powerful version of matching that captures transitive interactions between graph nod…
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Python Implementation for Random Walk with Restart (RWR)
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Papers on Graph Analytics, Mining, and Learning
Add a description, image, and links to the graph-mining topic page so that developers can more easily learn about it.
To associate your repository with the graph-mining topic, visit your repo's landing page and select "manage topics."