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).

A toolkit for blockchain data collection

Papers on Graph Analytics, Mining, and Learning

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

FGNN's artifact evaluation (EuroSys 2022)

metropolis-hastings random walk with PySpark

Sample Generalized Random Dot Product Graphs in Linear Time

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

A Task-Oriented graph SAmpler for HGNN

Implementation of various graph sampling methods with visual results.

Origami: Algorithm for Representative Orthogonal Graph Mining and Sampling

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

sklearn for machine learning on graphs

The Go-to package for Network Analysis in Go

Evaluation Framework for Graph Sample Clustering

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

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

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

Output space sampling for graph pattern mining