3 papers
cs.SI2025
Representing Higher-Order Networks with Spectral Moments
Hao Tian, Shengmin Jin, Reza Zafarani
The spectral properties of traditional (dyadic) graphs, where an edge connects exactly two vertices, are widely studied in different applications. These spectral properties are clo…
cs.LG2024
Harnessing the Power of Noise: A Survey of Techniques and Applications
Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney +1
Noise, traditionally considered a nuisance in computational systems, is reconsidered for its unexpected and counter-intuitive benefits across a wide spectrum of domains, including…
cs.SI2024
Higher-Order Networks Representation and Learning: A Survey
Hao Tian, Reza Zafarani
Network data has become widespread, larger, and more complex over the years. Traditional network data is dyadic, capturing the relations among pairs of entities. With the need to m…