Pegah Malekpour Alamdari

According to our database, Pegah Malekpour Alamdari authored at least 5 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

SimGOL: a similarity-based graph optimization and learning framework with flexible fusion for recommender systems.

Sang-Woong Lee, Saqib Ali, Amir Masoud Rahmani, Gholamreza Zare, Pegah Malekpour Alamdari, Parisa Khoshvaght, Mehdi Hosseinzadeh

Neural Comput. Appl., May, 2026

MAF-RL: Multi-Source Actor-Critic fusion reinforcement learning for dynamic decision systems.

Mehdi Hosseinzadeh, Rizwan Ali Naqvi, Amir Masoud Rahmani, Gholamreza Zare, Pegah Malekpour Alamdari, Parisa Khoshvaght, Aso Darwesh, Thantrira Porntaveetus, Sang-Woong Lee

Inf. Sci., 2026

2025

PGA-DRL: Progressive graph attention-based deep reinforcement learning for recommender systems.

Jawad Tanveer, Sang-Woong Lee, Amir Masoud Rahmani, Khursheed Aurangzeb, Mahfooz Alam, Gholamreza Zare, Pegah Malekpour Alamdari, Mehdi Hosseinzadeh

Inf. Fusion, 2025

SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks.

Sang-Woong Lee, Jawad Tanveer, Amir Masoud Rahmani, Hamid Alinejad-Rokny, Parisa Khoshvaght, Gholamreza Zare, Pegah Malekpour Alamdari, Mehdi Hosseinzadeh

Inf. Fusion, 2025

2020

A Systematic Study on the Recommender Systems in the E-Commerce.

Pegah Malekpour Alamdari, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Ali Asghar Safaei, Aso Mohammad Darwesh

IEEE Access, 2020