graph-mining

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…

machine-learning data-mining deep-learning graphs fake-news graph-mining fraud-detection security-tools anomaly-detection misinformation malware-detection anomaly-detection-models anomaly-detection-algorithm rumor-detection fake-news-detection graph-mining-systems graph-anomaly-detection

UpdatedJul 10, 2023

ChandlerBang /Pro-GNN

Star299

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

machine-learning deep-learning pytorch semi-supervised-learning defense graph-mining attack-defense adversarial-attacks graph-neural-networks graph-structure-recovery

UpdatedMay 12, 2023
Python

kawidu12 /Grapher

Star280

Download Grapher - Advanced Graph Visualization, Data Analysis, and Real-Time Plotting Tool for Developers 2025

graph-algorithms data-visualization graph-processing graph-theory graph-database graph-visualization network-analysis graph-analytics graph-mining graph-drawing graph-partitioning graph-traversal graph-matching graph-clustering graph-optimization graph-embedding graph-neural-networks graph-connectivity graph-centrality graphql-integration

UpdatedJul 14, 2025

dbs-leipzig /gradoop

Star248

Distributed Temporal Graph Analytics with Apache Flink

graph pattern-matching apache-flink property-graph distributed-graph-analytics graph-mining temporal-graph

UpdatedJul 20, 2025
Java

danielzuegner /nettack

Star221

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

machine-learning deep-learning neural-networks graph-mining adversarial-attacks

UpdatedMay 31, 2022
Python

betterenvi /gSpan

Star204

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

data-mining graph-algorithms graph-mining gspan mining-frequent-subgraphs

UpdatedDec 2, 2020
Jupyter Notebook

danielzuegner /netgan

Star195

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

machine-learning deep-learning generative-adversarial-network graph-mining

UpdatedDec 7, 2020
Jupyter Notebook

THUMNLab /awesome-graph-ood

Star165

Papers about out-of-distribution generalization on graphs.

machine-learning deep-learning graph-mining graph-neural-networks out-of-distribution-generalization

UpdatedJun 5, 2023

safreita1 /TIGER

Star159

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

data-science machine-learning data-mining attack graph simulation vulnerability networks epidemics defense graph-mining diffusion robustness graph-attack adversarial-attacks network-attack cascading-failures netshield

UpdatedOct 16, 2022
Python

danielzuegner /gnn-meta-attack

Star149

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

machine-learning deep-learning neural-networks graph-mining meta-learning adversarial-attacks graph-neural-networks graph-neural-network

UpdatedDec 9, 2021
Python

chenxuhao /ReadingList

Star126

Papers on Graph Analytics, Mining, and Learning

graph graph-algorithms parallel-computing graph-theory graph-databases graph-analytics graph-mining graph-partitioning graph-machine-learning random-walk graph-clustering graph-pattern-matching graph-sampling graph-neural-networks graph-coarsening graph-pattern-mining hardware-accelerators graph-querying

UpdatedAug 15, 2022

jinhongjung /pyrwr

Star121

Python Implementation for Random Walk with Restart (RWR)

graph network pagerank python3 graph-mining random-walk-with-restart rwr personalized-pagerank personalized-node-ranking node-to-node-similarity

UpdatedNov 28, 2022
Python

ehab-abdelhamid /GraMi

Star114

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…

graph graph-mining frequent-patterns frequent-subgraph-mining