Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network

no code implementations • 13 Feb 2022 • Mohammadreza Radmanesh, Hossein Ghorbanzadeh, Ahmad Asgharian Rezaei, Mahdi Jalili, Xinghuo Yu

The final representations are the results of concatenating source and target embedding vectors.

Graph Neural Network Link Prediction +3

Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach

no code implementations • 13 Feb 2022 • Ahmad Asgharian Rezaei, Justin Munoz, Mahdi Jalili, Hamid Khayyam

Vital node identification is the problem of finding nodes of highest importance in complex networks.

BIG-bench Machine Learning Feature Engineering +2

Parsisanj: a semi-automatic component-based approach towards search engine evaluation

no code implementations • 25 Sep 2020 • Amin Heydari Alashti, Ahmad Asgharian Rezaei, Alireza Elahi, Sobhan Sayyaran, Mohammad Ghodsi

Accessing to required data on the internet is wide via search engines in the last two decades owing to the huge amount of available data and the high rate of new data is generating daily.

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks

1 code implementation • 8 May 2020 • Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller

We believe we are the first to use embeddings for the task of fair influence maximization.

Clustering Fairness +2