graph-mining

There are 14 repositories under graph-mining topic.

ChandlerBang / awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
graph-neural-networks pretraining self-supervised-learning deep-learning machine-learning graph-mining pre-training graph-self-supervised-learning
Language:Python 1621
DSE-MSU / DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
adversarial-attacks adversarial-examples deep-learning deep-neural-networks defense graph-convolutional-networks graph-mining graph-neural-networks machine-learning
Language:Python 1004
wehos / awesome-graph-transformer
Papers about graph transformers.
graph-mining graph-neural-networks machine-learning transformer graph-transformer deep-learning transformers
812
flyingdoog / awesome-graph-explainability-papers
Papers about explainability of GNNs
machine-learning deep-learning graph-mining graph-neural-networks xai explainable-ai explainability
671
ysig / GraKeL
A scikit-learn compatible library for graph kernels
bioinformatics chemoinformatics graph-classification graph-kernels graph-mining graph-similarity graph-similarity-algorithms scikit-learn
Language:Python 602
XiaoxiaoMa-MQ / Awesome-Deep-Graph-Anomaly-Detection
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 contributors and boost further research in this area.
anomaly-detection anomaly-detection-algorithm anomaly-detection-models data-mining deep-learning graph-anomaly-detection graphs machine-learning graph-mining-systems security-tools graph-mining fake-news fake-news-detection fraud-detection malware-detection misinformation rumor-detection
335
ChandlerBang / Pro-GNN
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
graph-neural-networks adversarial-attacks defense deep-learning machine-learning graph-structure-recovery graph-mining attack-defense semi-supervised-learning pytorch
Language:Python 286
gradoop
dbs-leipzig / gradoop
Distributed Temporal Graph Analytics with Apache Flink
graph property-graph distributed-graph-analytics apache-flink graph-mining pattern-matching temporal-graph
Language:Java 246
danielzuegner / nettack
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
machine-learning adversarial-attacks graph-mining deep-learning neural-networks
Language:Python 219
betterenvi / gSpan
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
data-mining graph-algorithms graph-mining gspan mining-frequent-subgraphs
Language:Jupyter Notebook 198
danielzuegner / netgan
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
deep-learning generative-adversarial-network graph-mining machine-learning
Language:Jupyter Notebook 192
THUMNLab / awesome-graph-ood
Papers about out-of-distribution generalization on graphs.
deep-learning graph-mining graph-neural-networks machine-learning out-of-distribution-generalization
161
safreita1 / TIGER
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
adversarial-attacks attack cascading-failures data-mining data-science defense diffusion epidemics graph graph-attack graph-mining machine-learning netshield network-attack networks robustness simulation vulnerability
Language:Python 154
danielzuegner / gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
machine-learning meta-learning adversarial-attacks graph-mining deep-learning neural-networks graph-neural-networks graph-neural-network
Language:Python 145
chenxuhao / ReadingList
Papers on Graph Analytics, Mining, and Learning
graph graph-neural-networks graph-algorithms graph-mining graph-pattern-mining graph-pattern-matching graph-machine-learning graph-sampling graph-analytics random-walk parallel-computing hardware-accelerators graph-partitioning graph-clustering graph-databases graph-theory graph-coarsening graph-querying
123
jinhongjung / pyrwr
Python Implementation for Random Walk with Restart (RWR)
random-walk-with-restart python3 personalized-node-ranking graph rwr personalized-pagerank pagerank network node-to-node-similarity graph-mining
Language:Python 118
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 nodes (like friend of a friend) which are very common in modern applications. Also, GraMi supports user-defined structural and semantic constraints over the results, as well as approximate results. For more details, check our paper: Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, and Panos Kalnis. GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. PVLDB, 7(7):517-528, 2014.
frequent-patterns frequent-subgraph-mining graph-mining graph
Language:Java 111
walklets
benedekrozemberczki / walklets
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
deep-learning deepwalk dimensionality-reduction dont-walk-skip edge-prediction embedding gensim graph-convolution graph-embedding graph-mining graph-neural-networks graphlet machine-learning multiscale node-classification node-embedding node2vec walklet word-embedding word2vec
Language:Python 106
ChandlerBang / SelfTask-GNN
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
deep-learning graph-mining graph-neural-networks machine-learning self-supervised-learning
Language:Python 97
habedi / PracticalMachineLearning
A collection of open-source and free machine learning resources
anomaly-detection data-analysis data-mining data-science data-science-resourses datasets deep-learning deep-neural-networks graph-algorithms graph-mining jupyter-notebook kaggle machine-learning pandas python python-machine-learning scikit-learn self-learning zeppelin-notebook
Language:Jupyter Notebook 83
MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
graph graph-embedding graph-learning graph-mining graph-neural-networks graph-representation-learning network-embedding network-representation-learning
78
benedekrozemberczki / RolX
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
deepwalk node2vec rolx refex struc2vec word2vec gensim tensorflow unsupervised-learning graph-embedding node-embedding factorization implicit-factorization structural-embedding machine-learning deep-learning semisupervised-learning matrix-factorization embedding graph-mining
Language:Python 69
KaiyuanZh / awesome-graph-representation-learning
A curated list of awesome graph representation learning.
adversarial-learning awesome-list graph graph-convolutional-networks graph-embedding graph-mining graph-neural-networks graph-representation-learning
68
ChandlerBang / SimP-GCN
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
adversarial-attacks deep-learning graph-convolutional-networks graph-mining graph-neural-networks robustness
Language:Python 60
JihoChoi / social-network-analysis-papers
:family: Social Network Analysis Papers
data-mining graph-mining social-media-analysis social-network-analysis
56
Jokeren / gBolt
gBolt--very fast implementation for gSpan algorithm in data mining
data-mining gspan gspan-algorithm multi-threading openmp graph-mining thread cpp11 task-parallel hash-table
Language:C++ 53
IngoScholtes / kdd2018-tutorial
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
data-science data-analytics graph-mining higher-order-models network-science
Language:HTML 47
sbustreamspot / sbustreamspot-core
Core streaming heterogeneous graph clustering and anomaly detection code (KDD 2016)
anomaly-detection graph-mining streaming
Language:C++ 39
thangdnsf / BigCLAM-ApacheSpark
Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark
graph-mining apache-spark graphx community-detection large-scale latex machine-learning scale-networks bigclam-model spark scala bigclam
Language:Scala 36
yuzhimanhua / Influence-Maximization
Top-K Influential Nodes in Social Networks: A Game Perspective (SIGIR'17)
influence-maximization graph-mining social-network-analysis
Language:C++ 35
HipGraph / FusedMM
Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"
graph-embedding graph-neural-netowrks graph-visualization graph-mining graph-machine-learning general-purpose-library fused-kernel graph-learning-kernel shared-memory-parallel
Language:C 29
xingsumq / dynamic-community-detection-IncNSA
The source code of a community detection method in dynamic networks for paper "IncNSA: Detecting communities incrementally from time-evolving networks based on node similarity".
clustering community-detection dynamic-networks graph-mining
Language:Python 25
zealscott / KG4Rec_Paperlist
This repository collects recent top papers about knowledge-aware recommendations. We will keep updating the paper list weekly.
knowledge-graph recommender-system paperlist graph-neural-networks heterogeneous-network graph-mining
23
BAT
ZhiningLiu1998 / BAT
[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类
data-augmentation graph-algorithms graph-machine-learning graph-mining imbalanced-data imbalanced-learning machine-learning node-classification
Language:Python 21
tangxianfeng / PA-GNN
Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".
adversarial-defense deep-learning graph-mining graph-neural-networks machine-learning meta-learning neural-networks
Language:Python 20
tlancian / contrast-subgraph
"Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis
graph graph-mining
Language:Python 20

graph-mining

ChandlerBang / awesome-self-supervised-gnn

DSE-MSU / DeepRobust

wehos / awesome-graph-transformer

flyingdoog / awesome-graph-explainability-papers

ysig / GraKeL

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

ChandlerBang / Pro-GNN

dbs-leipzig / gradoop

danielzuegner / nettack

betterenvi / gSpan

danielzuegner / netgan

THUMNLab / awesome-graph-ood

safreita1 / TIGER

danielzuegner / gnn-meta-attack

chenxuhao / ReadingList

jinhongjung / pyrwr

ehab-abdelhamid / GraMi

benedekrozemberczki / walklets

ChandlerBang / SelfTask-GNN

habedi / PracticalMachineLearning

MGitHubL / Chinese-Reading-Notes-of-Graph-Learning

benedekrozemberczki / RolX

KaiyuanZh / awesome-graph-representation-learning

ChandlerBang / SimP-GCN

JihoChoi / social-network-analysis-papers

Jokeren / gBolt

IngoScholtes / kdd2018-tutorial

sbustreamspot / sbustreamspot-core

thangdnsf / BigCLAM-ApacheSpark

yuzhimanhua / Influence-Maximization

HipGraph / FusedMM

xingsumq / dynamic-community-detection-IncNSA

zealscott / KG4Rec_Paperlist

ZhiningLiu1998 / BAT

tangxianfeng / PA-GNN

tlancian / contrast-subgraph