Graph Connectivity in Log Steps Using Label Propagation

File Relation Graph Based Malware Detection Using Label Propagation

Label Propagation Using Amendable Clamping

Assigning several labels to digital data is becoming easier because we can perform it in a collaborative manner with Internet users. However, some suitable labels may be missed and may not be attached to the data leading to inaccuracies in classification. In this paper, we propose a novel graphbased multi-label classifier to support the multi-labeling task. The core process of our algorithm is ...

Identification of mild cognitive impairment disease using brain functional connectivity and graph analysis in fMRI data

Background: Early diagnosis of patients in the early stages of Alzheimer's, known as mild cognitive impairment, is of great importance in the treatment of this disease. If a patient can be diagnosed at this stage, it is possible to treat or delay Alzheimer's disease. Resting-state functional magnetic resonance imaging (fMRI) is very common in the process of diagnosing Alzheimer's disease. In th...

Graph Constrained Label Propagation on Water Supply Networks

A Metric Learning Approach for Graph-based Label Propagation

The efficiency of graph-based semi-supervised algorithms depends on the graph of instances on which they are applied. The instances are often in a vectorial form before a graph linking them is built. The construction of the graph relies on a metric over the vectorial space that help define the weight of the connection between entities. The classic choice for this metric is usually a distance me...