For the complete list, please check Google Scholar

2024

1.  DDI Prediction with Heterogeneous Information Network - Meta-Path Based Approach
   Farhan Tanvir*, Khaled Mohammed Saifuddin*, Muhammad Ifte Islam, Esra Akbas
   IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024, doi: 10.1109/TCBB.2024.3417715

2.  Tackling Oversmoothing in GNN via Graph Sparsification
   Tanvir Hossain, Khaled Mohammed Saifuddin*, Muhammad Ifte Islam, Farhan Tanvir*, Esra Akbas
   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Accepted, 2024

3. HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction
   Farhan Tanvir*, Khaled Mohammed Saifuddin*, Tanvir Hossain, , Arunkumar Bagavathi , Esra Akbas
   IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2024, Accepted

4.  Exploring Similarity-Based Graph Compression for Efficient Network Analysis and Embedding
   Hamdi Selim Akin**, Mehmet Emin Aktas, Muhammad Ifte Islam*,Tanvir Hossain,  Esra Akbas
   The 33rd International Conference on Computer Communications and Networks (ICCCN 2024), Accepted

5. GRIEF in the Gray Zone: Identifying and Analyzing Vault App
   Seth Barrett, Alex Salontai**, Rajon Bardhan, Gokila Dorai, Esra Akbas and Patrick Woodell
   The Twentieth IFIP WG 11.9 International Conference on Digital Forensics (ICDF 2024), Accepted

2023

6.  Seq-HyGNN: Sequence Classification via Hypergraph Neural Network
   Khaled Mohammed Saifuddin*, Corey May**, Farhan Tanvir*, Muhammad Ifte Islam*, and Esra Akbas.
   32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023, https://doi.org/10.1145/3583780.3615057

7. HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
   Khaled Mohammed Saifuddin*, Bri Bumgardnerr**, Farhan Tanvir*, Esra Akbas
   ICDE, 2023

8.  MPool: Motif-Based Graph Pooling
   Muhammad Ifte Islam, Max Khanov, Esra Akbas
   Pacific-Asia Conference on Knowledge Discovery and Data Mining, 105-117

9. Predicting Drug-drug Interactions Using Heterogeneous Graph Attention Networks,
   Farhan Tanvir*, Khaled Mohammed Saifuddin*, Muhammad Ifte Khairul Islam*, Esra Akbas,
   14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), 2023, https://doi.org/10.1145/3584371.3613065

2022

10. The Need for Biometric Anti-Spoofing Policies: The Case of Etsy
    Mohsen Jozani, Gianluca Zanella, Maxium Khanov**, Gokila Dorai, Esra Akbas
    13th EAI International Conference on Digital Forensics & Cyber Crimee, EAI ICDF2C 2022

11.  EnD: Enhanced Dedensification for Graph Compressing and Embedding 

T Hossain, E Akbas, MIK Islam

2022 IEEE International Conference on Data Mining Workshops (ICDMW), 674-681

12. Influence Maximization on Hypergraphs via Similarity-based Diffusion

ME Aktas, S Jawaid, I Gokalp, E Akbas

2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1197-1206

13. DDI Prediction via Heterogeneous Graph Attention Networks

F Tanvir, KM Saifuddin, E Akbas

BioKDD Workshop, 2022

2021

14. Predicting drug-drug interactions using meta-path-based similarities

F Tanvir, MIK Islam, E Akbas

2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

15. DECADE-Deep Learning Based Content-hiding Application Detection System for Android

M Peng, M Khanov, SR Madireddy, H Chi, E Akbas, G Dorai

2021 IEEE International Conference on Big Data (Big Data), 5430-5440

16. 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

17. 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

18. Effects of COVID-19 on Individuals in Opioid Addiction Recovery

KM Saifuddin, E Akbas, M Khanov, J Beaman

2021 20th IEEE International Conference on Machine Learning and Applications

19. Identifying critical higher-order interactions in complex networks
    Mehmet Aktas, Thu Nguyen, Sidra Jawaid, Rakin Riza, Esra Akbas
    Nature Scientific Reports 11, 21288, 2021.
    [Paper]

20. Homology Preserving Graph Compression
    Mehmet Aktas, Thu Nguyen, Esra Akbas
    Proceedings of the IEEE International Conference on Machine Learning and Applications   (ICMLA), 2021.
    [Paper]

21. Influential nodes detection in complex networks via diffusion frechet function
    Mehmet Aktas, Sidra Jawaid, Ebony Harrington, Esra Akbas
    Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.
    [Paper]

22. Hypergraph Laplacians in Diffusion Framework
    Mehmet Aktas, Esra Akbas
    Proceedings of the 10th International Conference on Complex Networks and their Applications , 2021.
    [Paper]

23. Graph Classification via Heat Diffusion on Simplicial Complexes
    Mehmet Aktas, Esra Akbas
    IEEE Access 9: 12291-12300, 2021
    [Paper]

2020

1. Bot Detection on Social Networks using Persistent Homology
   Minh Nguyen, Mehmet Aktas, Esra Akbas
   MDPI Mathematical and Computational Applications, 25 (3), 58, 2020
   [Paper]

2. Proximity-based compression for network embedding

MI Islam, F Tanvir, G Johnson, E Akbas, ME Aktas

Frontiers in big Data 3, 608043
[Paper]

2019

1. Paper recommendation based on citation relation

W Tanner, E Akbas, M Hasan

2019 IEEE international conference on big data (big data), 3053-3059

2. Index Based Efficient Algorithms For Closest Community Search

E Akbas

2019 IEEE International Conference on Big Data (Big Data), 701-710

3. Network Embedding: on Compression and Learning

E Akbas, M Aktas

2019 IEEE International Conference on Big Data (Big Data), 4763-4772

4. Graph Clustering Based on Attribute-Aware Graph Embedding

E Akbas, P Zhao

From Security to Community Detection in Social Networking Platforms, 109-131

5. Text classification via network topology: A case study on the Holy Quran
   Mehmet Aktas, Esra Akbas
   Proceedings of the IEEE International Conference on Machine Learning and Applications, 2019
   [Paper,Poster]

6. Classification of Turkish makam music: a topological approach
   Mehmet Aktas, Esra Akbas, Jason Papayik, Yunus Kovankaya
   Journal of Mathematics and Music, DOI: 10.1080/17459737.2019.1622810, 2019.
   [Paper,Presentation]

3. Persistence Homology of Networks: Methods and Applications
   Mehmet Aktas, Esra Akbas, Ahmed El Fatmaoui
   Applied Network Science, 2019.
   [Paper]

4. Network Embedding: on Compression and Learning
   Esra Akbas, Mehmet Aktas
   Proceedings of the IEEE Big Data Conference, 2019.
   [Paper]

5. Differential transcriptional regulation by alternatively designed mechanisms: Mathematical Modeling Approach
   Necmettin Yildirim, Mehmet Aktas, Seyma Ozcan, Esra Akbas, Ahmet Ay
   In Silico Biology, pp. 1-33, 2016
   [Paper]

2018...

For the complete list, please check Google Scholar