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

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

FGNN's artifact evaluation (EuroSys 2022)

A Task-Oriented graph SAmpler for HGNN

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

sklearn for machine learning on graphs

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)

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

streaming graph sampling