Výsledky vyhledávání - "Asgarali Bouyer"

Akademický článek

Graph contrast learning for recommendation based on relational graph convolutional neural network

Autor: Xiaoyang Liu, Hanwen Feng, Xiaoqin Zhang, Xia Zhou, Asgarali Bouyer

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 8, Pp 102168- (2024)

Current knowledge graph-based recommendation methods heavily rely on high-quality knowledge graphs, often falling short in effectively addressing issues such as the cold start problem and heterogeneous noise in user interactions. This leads to biases

Externí odkaz: https://doaj.org/article/4b6415b538ea4afc9e70ddf92ced80e7

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Akademický článek

Effective SQL Injection Detection: A Fusion of Binary Olympiad Optimizer and Classification Algorithm

Autor: Bahman Arasteh, Asgarali Bouyer, Seyed Salar Sefati, Razvan Craciunescu

Publikováno v: Mathematics, Vol 12, Iss 18, p 2917 (2024)

Since SQL injection allows attackers to interact with the database of applications, it is regarded as a significant security problem. By applying machine learning algorithms, SQL injection attacks can be identified. Problem: In the training stage of

Externí odkaz: https://doaj.org/article/fa50a4f6d98343f6b74210b13eee6111

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Akademický článek

Semi-supervised community detection method based on generative adversarial networks

Autor: Xiaoyang Liu, Mengyao Zhang, Yanfei Liu, Chao Liu, Chaorong Li, Wei Wang, Xiaoqin Zhang, Asgarali Bouyer

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 3, Pp 102008- (2024)

Community detection in complex networks often suffers from insufficient data and limited utilization of prior knowledge. In this paper we propose “Semi-supervised Generative Adversarial Network” (GANSE), a novel algorithm that integrates Generati

Externí odkaz: https://doaj.org/article/4d72fe40f08249c9a2c7413bc3694d3c

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Akademický článek

Multiplex Community Detection in Social Networks Using a Chaos-Based Hybrid Evolutionary Approach

Autor: Bagher Zarei, Bahman Arasteh, Mehdi Asadi, Vahid Majidnezhad, Saeid Taghavi Afshord, Asgarali Bouyer

Publikováno v: Complexity, Vol 2024 (2024)

Network analysis involves using graph theory to understand networks. This knowledge is valuable across various disciplines like marketing, management, epidemiology, homeland security, and psychology. An essential task within network analysis is decip

Externí odkaz: https://doaj.org/article/56ff5b34a3844728a5858fbc805ec415

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Akademický článek

A cascade information diffusion prediction model integrating topic features and cross-attention

Autor: Xiaoyang Liu, Haotian Wang, Asgarali Bouyer

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101852- (2023)

Information cascade prediction is a crucial task in social network analysis. However, previous research has only focused on the impact of social relationships on cascade information diffusion, while ignoring the differences caused by the characterist

Externí odkaz: https://doaj.org/article/f75d7c6a1f4e48209c6ce9d54ae07c4d

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Akademický článek

A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering

Autor: Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei, Reza Ghanbarzadeh

Publikováno v: Complexity, Vol 2023 (2023)

Maintenance is one of the costliest phases in the software development process. If architectural design models are accessible, software maintenance can be made more straightforward. When the software’s source code is the only available resource, co

Externí odkaz: https://doaj.org/article/260b760a3efa446ea0b16a154dcec955

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Akademický článek

Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks

Autor: M. Zarezade, E. Nourani, Asgarali Bouyer

Publikováno v: Journal of Artificial Intelligence and Data Mining, Vol 8, Iss 2, Pp 201-212 (2020)

Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to

Externí odkaz: https://doaj.org/article/40028f3ac2574a6c9c2eaddb823f3a21

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