مصطفی حقیر چهرقانی - دانشگاه صنعتی امیرکبیر

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

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

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

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, vol. 320, no. , pp.113615-, 2025.

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, vol. , no. 174, pp.112965-, 2025.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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سرفصل ها

دوره درسی

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

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

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

Applied Linear Algebra

4042

Applied Linear Algebra

4042

(Complex Networks Analysis)

4041

Applied Linear Algebra

4041

Engineering Mathematics

4032

(Big Data Analytics)

4032

Applied Linear Algebra

4032