Project description

The CrawlingFramework (source code) is aimed for offline testing of network crawling algorithms on social graphs. Undirected graphs without self-loops are supported.

Currently, framework allows reproducing experiments from the paper “Amplifying Online Learning with Graph Neural Networks for Selective Harvesting over Social Networks” (not published).

Features:

• Run crawlers on given graphs, calculating quality measures, saving the history, and drawing plots.