| Truss-based community search: a truss-equivalence based indexing approach E Akbas, P Zhao Proceedings of the VLDB Endowment 10 (11), 1298-1309, 2017 | 166 | 2017 |
| Persistence homology of networks: methods and applications ME Aktas, E Akbas, AE Fatmaoui Applied Network Science 4 (1), 1-28, 2019 | 129 | 2019 |
| User characterization for online social networks T Tuna, E Akbas, A Aksoy, MA Canbaz, U Karabiyik, B Gonen, R Aygun Social Network Analysis and Mining 6, 1-28, 2016 | 54 | 2016 |
| Attributed graph clustering: An attribute-aware graph embedding approach E Akbas, P Zhao Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 33 | 2017 |
| Paper recommendation based on citation relation W Tanner, E Akbas, M Hasan 2019 IEEE international conference on big data (big data), 3053-3059, 2019 | 29 | 2019 |
| Aspect based opinion mining on Turkish tweets E Akbaş PQDT-Global, 2012 | 27 | 2012 |
| Identifying critical higher-order interactions in complex networks ME Aktas, T Nguyen, S Jawaid, R Riza, E Akbas Scientific reports 11 (1), 21288, 2021 | 18 | 2021 |
| Hygnn: Drug-drug interaction prediction via hypergraph neural network KM Saifuddin, B Bumgardner, F Tanvir, E Akbas 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1503-1516, 2023 | 16 | 2023 |
| A survey of social network forensics U Karabiyik, AM Canbaz, A Aksoy, T Tuna, E Akbas, B Gonen, RS Aygun Journal of Digital Forensics, Security and Law, 2016 | 14 | 2016 |
| Predicting drug-drug interactions using meta-path based similarities F Tanvir, MIK Islam, E Akbas 2021 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2021 | 13 | 2021 |
| Graph Clustering Based on Attribute-Aware Graph Embedding E Akbas, P Zhao From Security to Community Detection in Social Networking Platforms, 109-131, 2019 | 13 | 2019 |
| Drug abuse detection in twitter-sphere: Graph-based approach KM Saifuddin, MIK Islam, E Akbas 2021 IEEE International Conference on Big Data (Big Data), 4136-4145, 2021 | 10 | 2021 |
| Bot detection on social networks using persistent homology M Nguyen, M Aktas, E Akbas Mathematical and Computational Applications 25 (3), 58, 2020 | 9 | 2020 |
| Network Embedding: on Compression and Learning E Akbas, M Aktas 2019 IEEE International Conference on Big Data (Big Data), 4763-4772, 2019 | 9 | 2019 |
| The impact of social media on disaster volunteerism: evidence from Hurricane Harvey F Demiroz, E Akbas Journal of Homeland Security and Emergency Management 19 (2), 205-243, 2022 | 8 | 2022 |
| Hypergraph laplacians in diffusion framework ME Aktas, E Akbas Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022 | 8 | 2022 |
| Drug-drug interaction prediction: a purely SMILES based approach B Bumgardner, F Tanvir, KM Saifuddin, E Akbas 2021 IEEE International Conference on Big Data (Big Data), 5571-5579, 2021 | 8 | 2021 |
| Classification of Turkish makam music: a topological approach ME Aktas, E Akbas, J Papayik, Y Kovankaya Journal of Mathematics and Music 13 (2), 135-149, 2019 | 8 | 2019 |
| Proximity-based compression for network embedding MI Islam, F Tanvir, G Johnson, E Akbas, ME Aktas Frontiers in big Data 3, 608043, 2021 | 6 | 2021 |
| Text classification via network topology: A case study on the holy quran ME Aktas, E Akbas 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 6 | 2019 |
Mehmet Emin AktasGeorgia State University, J. Mack Robinson College of Business, Institute for InsightDirección de correo verificada de gsu.edu
