Top graph-mining open source projects

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…

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

SelfTask-GNN

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

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python shell machine-learning deep-learning graph-mining graph-neural-networks self-supervised-learning

awesome-graph-explainability-papers

Papers about explainability of GNNs

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machine-learning deep-learning graph-mining explainable-ai xai graph-neural-networks explainability

RolX

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

walklets

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

TIGER

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

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python 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

PracticalMachineLearning

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

BigCLAM-ApacheSpark

Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark

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scala machine-learning latex spark apache-spark community-detection graph-mining large-scale graphx scale-networks bigclam-model bigclam

SimP-GCN

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

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python shell deep-learning graph-mining graph-convolutional-networks robustness adversarial-attacks graph-neural-networks

Pro-GNN

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

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

Top 10 graph-mining open source projects