Publications

• 2021
  • Bri Bumgardner, Farhan Tanvir, Khaled Mohammed Saifuddin, and Esra Akbas. "Drug-Drug Interaction Prediction: a Purely SMILES Based Approach." 2021 IEEE International Conference on Big Data (Big Data) (2021): 5571-5579.
  • Khaled Mohammed Saifuddin, Ifte Khairul Islam, and Esra Akbas. "Drug Abuse Detection in Twitter-sphere: Graph-Based Approach." 2021 IEEE International Conference on Big Data (Big Data)(2021): 4136-4145.
  • Aktas, Mehmet Emin, Thu Nguyen and Esra Akbas. "Homology Preserving Graph Compression." 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)(2021): 930-935.
  • Aktas, Mehmet Emin, Sidra Jawaid, Ebony Harrington and Esra Akbas. "Influential nodes detection in complex networks via diffusion Fréchet function." 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)(2021): 1688-1695.
  • Aktas, Mehmet Emin and Esra Akbas. "Hypergraph Laplacians in Diffusion Framework." International Conference on Complex Networks and Their Applications(2021): n. pag.
  • Aktas, Mehmet Emin, Thu Hien Nguyen, Sidra Jawaid, Rakin Riza and Esra Akbas. "Identifying critical higher-order interactions in complex networks." Scientific reports11 1 (2021): 21288.
  • Mingming Peng, Max Khanov, Saikeerthi Reddy Madireddy, Hongmei Chi, Esra Akbas, and Gokila Dorai. "DECADE - Deep Learning Based Content-hiding Application Detection System for Android." 2021 IEEE International Conference on Big Data (Big Data) (2021): 5430-5440.
  • Khaled Mohammed Saifuddin, E. Akbas, M. Khanov, and J. Beaman. Effects of COVID-19 on individuals in Opioid Addiction Recovery." 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021): 1333-1340.
  • F. Tanvir, Islam, Muhammad, and Esra Akbas. “Predicting Drug-Drug Interactions Using Meta-path Based Similarities.” IEEE CIBCB (2021).
  • Aktas, M. and Esra Akbas. “Graph Classification via Heat Diffusion on Simplicial Complexes.” IEEE Access 9 (2021): 12291-12300.
• 2020
  • Nguyen, Minh Le, M. Aktas and Esra Akbas. “Bot Detection on Social Networks Using Persistent Homology.” Mathematical & Computational Applications 25 (2020): 58.
  • Islam, Muhammad, F. Tanvir, G. Johnson, Esra Akbas and M. Aktas. “Proximity-Based Compression for Network Embedding.” Frontiers in Big Data 3 (2020): n. pag.
• 2019
  • Aktas, M. and Esra Akbas. “Text Classification via Network Topology: A Case Study on the Holy Quran.” 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) (2019): 1557-1562.
  • Akbas, Esra, and Peixiang Zhao. “Graph Clustering Based on Attribute-Aware Graph Embedding.” From Security to Community Detection in Social Networking Platforms (2019): 109.
  • E. Akbas. "Index Based Efficient Algorithms For Closest Community Search." 2019 IEEE International Conference on Big Data (Big Data) (2019): 701-710.
  • E. Akbas and M. E. Aktas. "Network Embedding: on Compression and Learning." 2019 IEEE International Conference on Big Data (Big Data) (2019):  4763-4772.
  • Tanner, William, Esra Akbas and Mir Anamul Hasan. “Paper Recommendation Based on Citation Relation.” 2019 IEEE International Conference on Big Data (Big Data) (2019): 3053-3059.
  • Aktas, M.E., Akbas, E. & Fatmaoui, A.E. “Persistence homology of networks: methods and applications.” Applied Network Science 4 (2019): 1-28.
  • Aktas, M. and Esra Akbas. “Computing the Braid Monodromy of Completely Reducible n-gonal Curves.” ACM Transactions on Mathematical Software (TOMS) 45 (2019): 1 - 11.
  • Aktas, M., Esra Akbas, Jason Papayik and Yunus Kovankaya. “Classification of Turkish makam music: a topological approach.” Journal of Mathematics and Music 13 (2019): 135 - 149.
• 2017
  • Akbas, Esra and Peixiang Zhao. “Truss-based Community Search: a Truss-equivalence Based Indexing Approach.” Proc. VLDB Endow. 10 (2017): 1298-1309.
  • Esra Akbas, Peixiang Zhao. "Attributed Graph Clustering: An Attribute-aware Graph Embedding Approach." Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (2017): n. pag.
  • Akbas, Esra. “Opinion Mining on Non-English Short Text.” ISMIS (2017).
  • Necmettin Yildirim, Mehmet Aktas, Seyma Ozcan, Esra Akbas, Ahmet Ay. "Differential transcriptional regulation by alternatively designed mechanisms: Mathematical Modeling Approach" In silico biology 12 3-4 (2017): 95-127.
  • Esra Akbas. "Community Search and Detection on Large Graphs." PhD Dissertation, Florida State University, 2017.
• 2016
  • Karabiyik, U., Muhammed Abdullah Canbaz, A. Aksoy, Tayfun Tuna, Esra Akbas, Bilal Gonen and Ramazan Aygun. "A Survey of Social Network Forensics." J. Digit. Forensics Secur. Law 11 (2016): 55-128.
  • Tuna, Tayfun, Esra Akbas, A. Aksoy, Muhammed Abdullah Canbaz, U. Karabiyik, Bilal Gonen and Ramazan Aygun. "User Characterization for Online Social Networks" Social Network Analysis and Mining 6 (2016): 1-28.
• 2012
  • Esra Akbas. "Aspect Based Opinion Mining on Turkish Tweets." Master Thesis, Bilkent University, 2012.