There are 1 repository under graph-sampling topic.
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)
A sampling based method for scaling graph (network) data sets.
Implements some algorithms about Determinantal Point Processes for Graph Sampling using Python.
sklearn for machine learning on graphs
Evaluation Framework for Graph Sample Clustering
The Go-to package for Network Analysis in Go
Codes related to the paper - Compas: Community preserving sampling for streaming 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.
streaming graph sampling
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)