Graph Theory and its Applications LAB

Faculty of Mathematical Sciences

Ferdowsi Univ. of Mashhad

Mashhad, IRAN

About

The Graph Theory and its Applications Laboratory at the Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, is dedicated to conducting research in graph theory, graph algorithms, and their applications. By leveraging innovative approaches and advanced analytical methods, our laboratory addresses various challenges in diverse graph domains, including graph structure learning, graph neural networks, and temporal graphs.

Our laboratory fosters interdisciplinary collaborations with experts from various fields to develop innovative graph applications in different domains, expand knowledge, and specialize in graph theory and graph algorithms within the faculty.

The laboratory’s areas of activity include designing and analyzing graph algorithms, graph neural networks, modeling and analyzing complex networks, graph structure learning, graph compression, large-scale graph processing, and graph applications in various sciences, including biological and medical sciences.

news

Oct 09, 2024	13th Graph Theory and Algebraic Combinatorics Conference will be held in Shahid Rajaee Teacher Training University, Tehran, Iran on 28-29 May 2025.
Oct 01, 2024	Dr. Ghafarian is added to our GTA-Lab.
Sep 10, 2024	GNN workshop at Faculty of Mathematical Sciences, FUM
Aug 08, 2024	Distill's GNN Guides Now Available on GTA-lab
Jul 18, 2024	Establishment of the “Graph Theory and its Applications” Lab

latest posts

Aug 08, 2024	Understanding Convolutions on Graphs
Aug 07, 2024	A Gentle Introduction to Graph Neural Networks
Aug 06, 2024	Bike Rental System, Part III, PyG-Temporal dataset format

selected publications

Graph Feature Selection for Anti-Cancer Plant Recommendation

Mahmood Amintoosi, and Eisa Kohan-Baghkheirati

Control and Optimization in Applied Mathematics, 2023

Bib HTML Code

@article{Amintoosi2023GFS-COAM,
  author = {Amintoosi, Mahmood and Kohan-Baghkheirati, Eisa},
  title = {Graph Feature Selection for Anti-Cancer Plant Recommendation},
  journal = {Control and Optimization in Applied Mathematics},
  volume = {8},
  number = {2},
  pages = {1-15},
  year = {2023},
}

Overlapping Clusters in Cluster Graph Convolutional Networks

Mahmood Amintoosi

Journal of Algorithms and Computation, 2021

Bib HTML PDF Code

@article{GCN-JAC2021,
  author = {Amintoosi, Mahmood},
  title = {Overlapping Clusters in Cluster Graph Convolutional Networks},
  journal = {Journal of Algorithms and Computation},
  volume = {53},
  number = {2},
  pages = {33--45},
  year = {2021},
}

Localization of mobile targets in a wireless sensor network using Diffusion Least Mean Square algorithm based on Huber loss function (in Persian)

Soheila Ashkezari-Toussi, Mohammad-Naeem Teimoori, and Vahid-Reza Sabzevari

Soft Computing Journal, 2023

Bib PDF

@article{ashkezari2023localization,
  title = {Localization of mobile targets in a wireless sensor network using Diffusion Least Mean Square algorithm based on Huber loss function (in Persian)},
  author = {Ashkezari-Toussi, Soheila and Teimoori, Mohammad-Naeem and Sabzevari, Vahid-Reza},
  journal = {Soft Computing Journal},
  year = {2023},
  publisher = {https://scj.kashanu.ac.ir/?\_action=article\&au=800249\&\_au=Ashkezari~…},
}