X-Mark: a benchmark for node-attributed community discovery algorithms
Grou** well-connected nodes that also result in label-homogeneous clusters is a task
often known as attribute-aware community discovery. While approaching node-enriched …
often known as attribute-aware community discovery. While approaching node-enriched …
[PDF][PDF] Model for Generating Scale-Free Artificial Social Networks Using Small-World Networks.
The Internet of Things (IoT) has the potential to be applied to social networks due to
innovative characteristics and sophisticated solutions that challenge traditional uses. Social …
innovative characteristics and sophisticated solutions that challenge traditional uses. Social …
Anae: Learning node context representation for attributed network embedding
Attributed network embedding aims to learn low-dimensional node representations from
both network structure and node attributes. Existing methods can be categorized into two …
both network structure and node attributes. Existing methods can be categorized into two …