3 papers
cs.SI2018
Automatic Generation of Adaptive Network Models based on Similarity to the Desired Complex Network
Niousha Attar, Sadegh Aliakbary
Complex networks have become powerful mechanisms for studying a variety of realworld systems. Consequently, many human-designed network models are proposed that reproduce nontrivia…
cs.LG2018
Towards quantitative methods to assess network generative models
Vahid Mostofi, Sadegh Aliakbary
Assessing generative models is not an easy task. Generative models should synthesize graphs which are not replicates of real networks but show topological features similar to real…
cs.DL2018
Predicting citation counts based on deep neural network learning techniques
Ali Abrishami, Sadegh Aliakbary
With the growing number of published scientific papers world-wide, the need to evaluation and quality assessment methods for research papers is increasing. Scientific fields such a…