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Contrastive Learning with Transformers for Meta-Path-Free Heterogeneous Graph
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2.
“A novel contrastive multi-view framework for heterogeneous graph
embedding”(2025), Knowledge and Information Systems, Springer Nature 2025, A
Noori, MA Balafar, A Bouyer, K Salmani.
3.
“Review of heterogeneous graph embedding methods based on deep learning
techniques and comparing their efficiency in node classification” (2024), Social
Network Analysis and Mining, Springer Nature 2023, A Noori, MA Balafar, A
Bouyer, K Salmani.
4.
“An optimal task scheduling method in IoT‑Fog‑Cloud network using multi‑objective
moth‑flame algorithm” (2023),Multimedia Tools and Applications, Springer Nature 2022 ,T.Salehnia, A.Seyfollahi, S.Raziani, A.Noori, A.
Ghaffari, A.Ratib, Alsoud, L.Abualigah.
5.
“Providing a Consistent Method to Model the Behavior and Modelling
Intrusion Detection Using A Hybrid Particle SwarmOptimization-Logistic
Regression Algorithm” (2022),Security and Communication Networks, Mahdi ajdani, Azad noori, Hamidreza ghaffary.
6.
”Optimization of Energy Consumption in Cloud Video Surveillance Centre
based on Monitoring and Placement of Virtual Machines” (2022), international
journal of computer applications in technology (IJCAT), Majid Heidary,Ehsan Sadeghi Pour, A.Noori, M.Abedini Bagha,
7.
“A new method for detecting influential nodes in social network graphs
using deep learning techniques"(2022), Azad Noori, Karafan Quarterly Scientific Journal
19 (1), 607-628.
8.
"Simulation and
Comparison of Efficency in Pathfinding algorithms in Games" (2015), Ciencia
enatura , Azad noori , Farzad Moradi.
