Mostafa HaghirChehreghani - Amirkabir University of Technology

Supervised PhD Theses

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Thesis title

By

Date

1

Disinformation Detection in Social Networks using Graph Neural Networks

Batool Lakzaei & Alireza Bagheri
Other Supervisor: Mostafa Haghirchehreghani

2026 Feb

Supervised MSc Theses

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Thesis title

By

Date

1

Improving Fairness in Recommender Systems using Regularization

Mohammad Naeimi & Mostafa Haghirchehreghani

2024 Oct

2

A scalable routing and matching passenger algorithm for shared taxis

Amir Hossein Kashani & Mostafa Haghirchehreghani

2024 Aug

3

Developing a graph learning based multi-stakeholder recommender method

Nemat Gholinezhad Khaje Blaghi & Mostafa Haghirchehreghani

2024 Jul

4

improving accuracy of zero/few shot learning over graphs

Yassin Mohamadi & Mostafa Haghirchehreghani

2024 Jun

5

Evaluating Users Credibility in Social Networks

Mohammad Moradi & Mostafa Haghirchehreghani

2023 Jul

6

embedding computation for heterogeneous data

Fatemeh Gholamzadehnasrabadi & Mostafa Haghirchehreghani

2023 Jun

7

Improving Abstractive Text Summarization

Mohammadjavad Zohrabi & Mostafa Haghirchehreghani

2022 Jun

8

Developing a scalable distributed framework for learning graph representationas

Moein Salimi & Mostafa Haghirchehreghani

2021 Oct

9

Evaluating the success of a business based on social networks market analysis

Seyed Mohammad Mirabdolbaghi & Mostafa Haghirchehreghani

2020 Dec

10

providing a method for link prediction in complex networks

Masoud Malek & Mostafa Haghirchehreghani
Other Supervisor: Ehsan Nazerfard

2020 Jul

11

Design and implementation of Iran stock market prediction sofware using machine learning techniques

Mehdi Salemi Mottaghi & Mostafa Haghirchehreghani

2020 Feb

12

Improving Depressive Disorder Detection using Graph Neural Networks

Dorsa Macky Aleagha & Mostafa Haghirchehreghani

2026 Jun

13

Developing a Recommendation System in a Dynamic Setting

Zahra Akhlaghi Bouzani & Mostafa Haghirchehreghani

2025 Mar

14

matrix completion focusing on its applications in recommender systems

Narges Nemati Shams Abad & Mostafa Haghirchehreghani

2025 Mar

Journal Papers

1

N. Gholinezhad Khaje Blaghi, M. Haghirchehreghani, "Heterophily-aware fair recommendation using graph convolutional networks", Neurocomputing, 2025 Nov vol. 661, no. , pp.131956-, 2025.

2

B. Lakzaei, M. Haghirchehreghani, A. Bagheri, "A decision-based heterogenous graph attention network for multi-class fake news detection", Knowledge-Based Systems, 2025 Oct vol. 330, no. , pp.114499-, 2025.

3

Y. Mohamadi, M. Haghirchehreghani, "Mitigating over-squashing in graph few-shot learning by leveraging local and global similarities", Applied Soft Computing, 2025 Sep vol. 184, no. , pp.113863-, 2025.

4

F. Hoseynnia, M. Ghatee, M. Haghirchehreghani, "Mitigating over-smoothing in Graph Neural Networks for node classification through Adaptive Early Embedding and Biased DropEdge procedures", Knowledge-Based Systems, 2025 Jun vol. 320, no. , pp.113615-, 2025.

5

M. Shahrestani, M. Haghirchehreghani, "Prosody recognition in Persian poetry", Speech Communication, 2025 Mar vol. , no. 170, pp.103222-, 2025.

6

B. Lakzaei, M. Haghirchehreghani, A. Bagheri, "LOSS-GAT: Label propagation and one-class semi-supervised graph attention network for fake news detection", Applied Soft Computing, 2025 Mar vol. , no. 174, pp.112965-, 2025.

7

M. Haghirchehreghani, Morteza Haghir Chehreghani, "Mining transactional tree databases under homeomorphism", Journal of Supercomputing, 2025 Feb vol. 81, no. , pp.-, 2025.

8

F. Gholamzadehnasrabadi, A.H. Kashani, P. Zahedi, M. Haghirchehreghani, "Content Augmented Graph Neural Networks", Acm Transactions On The Web, 2024 Oct vol. 0, no. 0, pp.1-20, 2024.

9

M. Zohrabi, M. Nabatisaravani, M. Haghirchehreghani, "Centrality-based and similarity-based neighborhood extension in graph neural networks", Journal of Supercomputing, 2024 Jul vol. 0, no. 0, pp.1-26, 2024.

10

M. Haghirchehreghani, "A Review on the Impact of Data Representation on Model Explainability", Acm Computing Surveys, 2024 Apr vol. 0, no. 0, pp.1-20, 2024.

11

B. Lakzaei, M. Haghirchehreghani, A. Bagheri, "Disinformation detection using graph neural networks: a survey", Artificial Intelligence Review, 2024 Feb vol. 57, no. 3, pp.1-45, 2024.

12

M. Haghirchehreghani, "The embeddings world and Artificial General Intelligence", Cognitive Systems Research, 2023 Dec vol. 84, no. 3, pp.1-6, 2023.

13

M. Salemi Mottaghi, M. Haghirchehreghani, "A deep comprehensive model for stock price prediction", Journal of Ambient Intelligence and Humanized Computing, 2023 Jun vol. 0, no. 0, pp.1-11, 2023.

14

M. Haghirchehreghani, Z. Yaghoobi, "Improving empirical efficiency of CUR decomposition", Journal of Supercomputing, 2023 Jan vol. -, no. 0, pp.1-17, 2023.

15

M. Haghirchehreghani, "On using affine sketches for multiple-response dynamic graph regression", Journal of Supercomputing, 2022 Oct vol. 0, no. 0, pp.1-15, 2022.

16

M. Haghirchehreghani, "On the theory of dynamic graph regression problem", Computational & Applied Mathematics, 2022 Oct vol. 41, no. 8, pp.1-17, 2022.

17

M. Haghirchehreghani, "Half a decade of graph convolutional networks", Nature Machine Intelligence, 2022 Mar vol. 4, no. 3, pp.192-193, 2022.

18

M. Haghirchehreghani, "Sublinear update time randomized algorithms for dynamic graph regression", Applied Mathematics and Computation, 2021 Dec vol. 410, no. 0, pp.1-11, 2021.

19

M. Haghirchehreghani, Albert Bifet, Talel Abdessalem, "Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs", Fundamenta Informaticae, 2021 Nov vol. 182, no. 3, pp.219-242, 2021.

20

M. Haghirchehreghani, "Dynamical algorithms for data mining and machine learning over dynamic graphs", Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, 2020 Nov vol. 0, no. 0, pp.1-19, 2020.

21

Morteza Haghir Chehreghani, M. Haghirchehreghani, "Learning representations from dendrograms", Machine Learning, 2020 Aug vol. 109, no. 9, pp.1779-1802, 2020.

22

M. Haghirchehreghani, Talel Abdessalem, Albert Bifet, Meriem Bouzbila, "Sampling informative patterns from large single networks", Future Generation Computer Systems-The International Journal of Escience, 2020 Jan vol. 106, no. 0, pp.653-658, 2020.

Taught Courses

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Course title

Description

Headlines

Date

1

Complex Networks Analysis

هدف این درس آشنا نمودن دانشجویان با تکنیک های تحلیل و پردازش داده های گرافی و شبکه ایی پیچیده می باشد. در این درس، شبکه های پیچیده و انواع آ

4051

2

Applied Linear Algebra

در این درس، مباحث مختلف جبر خطی که در گرایش های مختلف رشته مهندسی کامپیوتر کاربرد زیادی دارند، ارائه می گردند. به طور خاص، در این درس معاد�

4051

3

Applied Linear Algebra

در این درس، مباحث مختلف جبر خطی که در گرایش های مختلف رشته مهندسی کامپیوتر کاربرد زیادی دارند، ارائه می گردند. به طور خاص، در این درس معاد�

4042

4

Applied Linear Algebra

در این درس، مباحث مختلف جبر خطی که در گرایش های مختلف رشته مهندسی کامپیوتر کاربرد زیادی دارند، ارائه می گردند. به طور خاص، در این درس معاد�

4042

5

Big Data Analysis

برای داده هایی که با حجم و سرعت بالا تولید می شوند، روشهای سنتی تحلیل و دستکاری داده ها قابل استفاده نیستند. هدف اصلی این درس معرفی تئوری ه�

4042

6

(Complex Networks Analysis)

4041

7

Applied Linear Algebra

4041

8

Applied Linear Algebra

4032

9

Engineering Mathematics

4032

10

(Big Data Analytics)

4032