Abstract: The rise of digital platforms has facilitated the rapid spread of disinformation, which poses significant social, political, and economic challenges. Knowledge graphs (KGs) are emerging as ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Benny The Butcher and Conway The Machine allegedly clashed in Paris, sparking new rumors of a Griselda split that could end one of Hip-Hop’s strongest crews. The tension within the Buffalo-born ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

1 Department of Computer Science and Engineering, Kishoreganj University, Kishoreganj, Bangladesh. 2 Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. 3 ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Abstract: Graph machine learning (ML) techniques have gained a lot of attention lately and have advanced significantly in graph applications. The majority of graph machine-learning techniques have so ...

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway 08854, New Jersey, United ...