Networks represent relationships between entities in many complex systems, spanning from
online social interactions to biological cell development and brain connectivity. In many …

Performing network-based analysis on medical and biological data makes a wide variety of
machine learning tools available. Clustering, which can be used for classification, presents …

Real-world, social phenomena produce various types of data, like explicit networks or user-
emitted text. When different sets of data describe the same entities, the data is termed multi …

Networks are fundamental models for data used in practically every application domain. In
most instances, several implicit or explicit choices about the network definition impact the …

Networks are complex models for underlying data in many application domains. In most
instances, raw data is not natively in the form of a network, but derived from sensors, logs …

Networks represent relationships between entities in many complex systems, spanning from
online social interactions to biological cell development and brain connectivity. In these …