مصطفی حقیر چهرقانی - دانشگاه صنعتی امیرکبیر

Mostafa Haghirchehreghani, Zahra Yaghoobi, "Improving empirical efficiency of CUR decomposition", JOURNAL OF SUPERCOMPUTING, Vol. -, Num. 0, Page 1-17, January 2023,

Mostafa Haghirchehreghani, "On using affine sketches for multiple-response dynamic graph regression", JOURNAL OF SUPERCOMPUTING, Vol. 0, Num. 0, Page 1-15, October 2022,

Mostafa Haghirchehreghani, "On the theory of dynamic graph regression problem", COMPUTATIONAL & APPLIED MATHEMATICS, Vol. 41, Num. 8, Page 1-17, October 2022,

Mostafa Haghirchehreghani, "Half a decade of graph convolutional networks", Nature Machine Intelligence, Vol. 4, Num. 3, Page 192-193, March 2022,

Mostafa Haghirchehreghani, "Sublinear update time randomized algorithms for dynamic graph regression", APPLIED MATHEMATICS AND COMPUTATION, Vol. 410, Num. 0, Page 1-11, December 2021,

Mostafa Haghirchehreghani, Albert Bifet, Talel Abdessalem, "Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs", FUNDAMENTA INFORMATICAE, Vol. 182, Num. 3, Page 219-242, November 2021,

Mostafa Haghirchehreghani, "Dynamical algorithms for data mining and machine learning over dynamic graphs", Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, Vol. 0, Num. 0, Page 1-19, November 2020,

Morteza Haghir Chehreghani, Mostafa Haghirchehreghani, "Learning representations from dendrograms", MACHINE LEARNING, Vol. 109, Num. 9, Page 1779-1802, August 2020,

Mostafa 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, Num. 0, Page 653-658, January 2020,

مقالات کنفرانس

داده های ثبت شده در پورتال

Sara Asghari, Mostafa Haghirchehreghani, Morteza Haghir Chehreghani, "On Using Node Indices and Their Correlations for Fake Account Detection ", IEEE International Conference on Big Data (IEEE BigData 2022), December 2022

Mahdi Ghanbari, Mostafa Haghirchehreghani, Morteza Haghir Chehreghani, "Graph Clustering Using Node Embeddings: An Empirical Study ", IEEE International Conference on Big Data (IEEE BigData 2022), December 2022

Masoud Malek, Mostafa Haghirchehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani, "Shallow Node Representation Learning using Centrality Indices ", 2021 IEEE International Conference on Big Data (IEEE BigData 2021), December 2021

Mostafa Haghirchehreghani, "Subsampled Randomized Hadamard Transform for Regression of Dynamic Graphs ", 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT - CIKM 2020, October 2020

Mostafa Haghirchehreghani, Albert Bifet, Talel Abdessalem, "Adaptive Algorithms for Estimating Betweenness and k-path Centralities ", 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, November 2019

Mostafa Haghirchehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani, "Mining Maximal Embedded Unordered Tree Patterns ", 2007 IEEE Symposium on Computational Intelligence and Data Mining, March 2007

دروس ارائه شده

عنوان درس

توصیف درس

سرفصل ها

دوره درسی

Applied Linear Algebra

In this course, those topics of linear algebra that are widely used in different areas of computer engineering, are presented and discussed. In particular, we familiarize students with linear equations, matrix algebra, deteminants, vector spaces, eig

Spring 2023

(Big Data Analytics)

Analyzing the data that are generated with high velocity, variety and volume, is not possible with traditional techniques. The goal of this course is to familiarize students with advanced theories and algorithms that have been recently proposed to fa

Spring 2023

(Complex Networks Analysis)

The objective of this course is to familiarize students with techniques of analyzing and processing complex networks. In this course, we theoretically and empirically investigate different types of complex networks. Furthermore, we study topics such

Fall 2022

Discrete Mathematics

In this course, topics of Discrete Mathematics that are widely used in different areas of computer engineering, are presented and discussed. In particular, this course aims to improve reasoning and problem solving abilities of the students and famili

Fall 2022

Advanced Topics (Big Data Analytics)

Analyzing the data that are generated with high velocity, variety and volume, is not possible with traditional techniques. The objective of this course is to familiarize students with advanced theories and algorithms that have been recently proposed

Spring 2022

Applied Linear Algebra

Spring 2022

Special Topics (Algorithms for Complex Networks)

Fall 2021

Discrete Mathematics

Fall 2021