graph-mining 开源项目推荐（150 个）

ChandlerBang /awesome-self-supervised-gnn

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

DSE-MSU /DeepRobust

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

wehos /awesome-graph-transformer

Papers about graph transformers.

flyingdoog /awesome-graph-explainability-papers

Papers about explainability of GNNs

ysig /GraKeL

A scikit-learn compatible library for graph kernels

XiaoxiaoMa-MQ /Awesome-Deep-Graph-Anomaly-Detection

基于深度学习框架构建的超棒图异常检测技术。常用数据集、论文及实现的集合都在这个GitHub仓库中列出。我们还邀请对异常检测、图表示学习和图异常检测感兴趣的研究人员加入本项目，推动该领域的进一步研究。

ChandlerBang /Pro-GNN

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

dbs-leipzig /gradoop

Distributed Temporal Graph Analytics with Apache Flink

danielzuegner /nettack

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

betterenvi /gSpan

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

danielzuegner /netgan

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

THUMNLab /awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

safreita1 /TIGER

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

danielzuegner /gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

chenxuhao /ReadingList

Papers on Graph Analytics, Mining, and Learning

ehab-abdelhamid /GraMi

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…

jinhongjung /pyrwr

Python Implementation for Random Walk with Restart (RWR)

benedekrozemberczki /walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

ChandlerBang /SelfTask-GNN

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

habedi /PracticalMachineLearning

A collection of open-source and free machine learning resources