For the complete list, please check Google Scholar

2023

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

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

2022

1. 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

2. 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

3. 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

4. DDI Prediction via Heterogeneous Graph Attention Networks

F Tanvir, KM Saifuddin, E Akbas

BioKDD Workshop, 2022

5. Liars are more influential: Effect of Deception in Influence Maximization on Social Networks
   Mehmet Aktas, Esra Akbas, Ashley Hahn
   arXiv:2203.11275.
   [Paper]

2021

1. 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

2. 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

3. 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

4. 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

5. 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)

6. 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]

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

4. 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]

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

6. 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