Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...
A new study finds that the robustness of shallow graph embedding methods for community detection under node deletion varies ...
Notably, in science, the problems you start with may not be the only ones you solve. Most research begins with a need to address a problem. Highly technical or surprisingly simple, the problem ...
The introduction of the edge-attributed skyline community (ESC) model marks a significant shift in how developers can approach community search within bipartite graphs. Traditional methods often ...
GraphAware Financial Crime Intelligence from Neo4j is a graph-native detection and investigation solution built on a reusable knowledge layer for modern financial crime operations. It enables analysts ...