Multilayer network analysis has become a vital tool for understanding different relationships
and their interactions in a complex system, where each layer in a multilayer network depicts …

In real-world, our DNA is unique but many people share names. This phenomenon often
causes erroneous aggregation of documents of multiple persons who are namesake of one …

Multilayer graphs are commonly used for representing different relations between entities
and handling heterogeneous data processing tasks. Nonstandard multilayer graph …

In the last decade, scholarly graphs became fundamental to storing and managing scholarly
knowledge in a structured and machine-readable way. Methods and tools for discovery and …

A wide variety of complex natural, engineered, conceptual, and social systems of high
technological and scientific importance can be represented by networks—structures that …

Author name disambiguation is an important research topic in the academic information
retrieval community. Existing methods rely either on feature engineering on rich attributes …

The name entity disambiguation task aims to partition the records of multiple real-life
persons so that each partition contains records pertaining to a unique person. Most of the …

In real-world, name ambiguity mainly arises when many people share the same name or
express their names in the same way, which often causes erroneous aggregation of records …

Over the last decade, proliferation of various online platforms and their increasing adoption
by billions of users have heightened the privacy risk of a user enormously. In fact, security …

Link prediction, or predicting the likelihood of a link in a knowledge graph based on its
existing state is a key research task. It differs from a traditional link prediction task in that the …