| Community aware random walk for network embedding MM Keikha, M Rahgozar, M Asadpour Knowledge-Based Systems 148, 47-54, 2018 | 93 | 2018 |
| Influence maximization across heterogeneous interconnected networks based on deep learning MM Keikha, M Rahgozar, M Asadpour, MF Abdollahi Expert Systems with Applications 140, 112905, 2020 | 77 | 2020 |
| Improved simulated annealing using momentum terms MM Keikha 2011 Second International Conference on Intelligent Systems, Modelling and …, 2011 | 36 | 2011 |
| Improving the accuracy of intrusion detection systems by using the combination of machine learning approaches H Sarvari, MM Keikha 2010 international conference of soft computing and pattern recognition, 334-337, 2010 | 25 | 2010 |
| DeepLink: A Novel Link Prediction Framework based on Deep Learning MM Keikha, M Rahgozar, M Asadpour Journal of Information Science 47 (5), 642–657, 2021 | 20 | 2021 |
| Breast Cancer Detection Using Deep Multilayer Neural Networks MM Keikha, Y Kord Tamandani Journal of Epigenetics 3 (1), 27-34, 2022 | 4 | 2022 |
| Structural Weights in Ontology Matching MM Keikha, MA Nematbakhsh, BT Ladani International Journal of Web & Semantic Technology (IJWesT 4 (4), 41-58, 2013 | 2 | 2013 |
| Adaptive Similarity Aggregation Method for Ontology Matching MM Keikha, MA Nematbakhsh, BT Ladani 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation …, 2010 | 1 | 2010 |
| A Novel Deep Learning-Based Approach for Graph Dimensionality Reduction by Using Fuzzy Logic and Random Walks MM Keikha, S Barahouei Applied and basic Machine intelligence research, 2025 | | 2025 |
| LINK PREDICTION ON SOCIAL NETWORKS BASED ON DEEP LEARNING MM Keikha, M Rahgozar | | 2018 |
| NETWORK NODES COMMUNITY DETECTION BASED ON DEEP LEARNING MM Keikha, M Rahgozar | | 2018 |
| Discovering compatible users in social networks A Kazemi, MA Nematbakhsh, MM Keikha International Journal of Social Network Mining 2 (1), 1-18, 2015 | | 2015 |
| Harmonygraph: A Unified Neural Network-Based Framework for Network Representation Learning by Using Chaotic Dynamics, Fuzzy Logic and Random Walks MM Keikha, S Barahoie, H Rezaei Fuzzy Logic and Random Walks, 0 | | |
| Path Net: Leveraging Random Walk Sampling and Message Passing for Superior Graph Embeddings in Neural Networks MM Keikha, S Barahoie, F Ghavamsaeedi, Y Kord Tamandani Available at SSRN 4958368, 0 | | |
Maseud RahgozarProfessor of Computer Science, Tehran Universityایمیل تأیید شده در ut.ac.ir