Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

Papers on Graph Analytics, Mining, and Learning

A toolkit for blockchain data collection

A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)

FGNN's artifact evaluation (EuroSys 2022)

Sample Generalized Random Dot Product Graphs in Linear Time

A sampling based method for scaling graph (network) data sets.

metropolis-hastings random walk with PySpark

Origami: Algorithm for Representative Orthogonal Graph Mining and Sampling

Implements some algorithms about Determinantal Point Processes for Graph Sampling using Python.

Implementation of various graph sampling methods with visual results.

sklearn for machine learning on graphs

Evaluation Framework for Graph Sample Clustering

The Go-to package for Network Analysis in Go

A Task-Oriented graph SAmpler for HGNN

Codes related to the paper - Compas: Community preserving sampling for streaming graphs

Sample the G(n, m)-model of Erdős–Rényi random graphs.

Detection of fraudulent Bitcoin accounts using graph theory, primarily the graph embedding techniques node2vec and trans2vec, after the testing and use of graph sampling techniques.

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)