A Survey of Social Network Forensics. - Umit Karabiyik; Muhammed Abdullah Canbaz; Ahmet Aksoy; Tayfun Tuna; Esra Akbas; Bilal Gonen; Ramazan Aygun (J. Digit. Forensics Secur. Law, 2016)

User characterization for online social networks. - Tayfun Tuna; Esra Akbas; Ahmet Aksoy; Muhammed Abdullah Canbaz; Umit Karabiyik; Bilal Gonen; Ramazan Aygun (Soc. Netw. Anal. Min., 2016)

Attributed Graph Clustering: an Attribute-aware Graph Embedding Approach. - Esra Akbas; Peixiang Zhao 001 (ASONAM, 2017)

Opinion Mining on Non-English Short Text. - Esra Akbas (ISMIS, 2017)

Differential transcriptional regulation by alternatively designed mechanisms: A mathematical modeling approach. - Necmettin Yildirim; Mehmet Emin Aktas; Seyma Nur Ozcan; Esra Akbas; Ahmet Ay (Silico Biol., 2017)

Truss-based Community Search: a Truss-equivalence Based Indexing Approach. - Esra Akbas; Peixiang Zhao 001 (Proc. VLDB Endow., 2017)

Index Based Efficient Algorithms For Closest Community Search. - Esra Akbas (IEEE BigData, 2019)

Network Embedding: on Compression and Learning. - Esra Akbas; Mehmet Emin Aktas (IEEE BigData, 2019)

Paper Recommendation Based on Citation Relation. - William Tanner; Esra Akbas; Mir Hasan (IEEE BigData, 2019)

Text Classification via Network Topology: A Case Study on the Holy Quran. - Mehmet Emin Aktas; Esra Akbas (ICMLA, 2019)

Persistence homology of networks: methods and applications. - Mehmet Emin Aktas; Esra Akbas; Ahmed El Fatmaoui (Appl. Netw. Sci., 2019)

Computing the Braid Monodromy of Completely Reducible n-gonal Curves. - Mehmet Emin Aktas; Esra Akbas (ACM Trans. Math. Softw., 2019)

Proximity-Based Compression for Network Embedding. - Muhammad Ifte Islam; Farhan Tanvir; Ginger Johnson; Esra Akbas; Mehmet Emin Aktas (Frontiers Big Data, 2020)

Drug-Drug Interaction Prediction: a Purely SMILES Based Approach. - Bri Bumgardner; Farhan Tanvir; Khaled Mohammed Saifuddin; Esra Akbas (IEEE BigData, 2021)

DECADE - Deep Learning Based Content-hiding Application Detection System for Android. - Mingming Peng; Max Khanov; Saikeerthi Reddy Madireddy; Hongmei Chi; Esra Akbas; Gokila Dorai (IEEE BigData, 2021)

Drug Abuse Detection in Twitter-sphere: Graph-Based Approach. - Khaled Mohammed Saifuddin; Muhammad Ifte Khairul Islam; Esra Akbas (IEEE BigData, 2021)

Predicting Drug-Drug Interactions Using Meta-path Based Similarities. - Farhan Tanvir; Muhammad Ifte Islam; Esra Akbas (CIBCB, 2021)

Hypergraph Laplacians in Diffusion Framework. - Mehmet Emin Aktas; Esra Akbas (COMPLEX NETWORKS, 2021)

Influential nodes detection in complex networks via diffusion Fréchet function. - Mehmet Emin Aktas; Sidra Jawaid; Ebony Harrington; Esra Akbas (ICMLA, 2021)

Homology Preserving Graph Compression. - Mehmet Emin Aktas; Thu Nguyen 002; Esra Akbas (ICMLA, 2021)

Effects of COVID-19 on individuals in Opioid Addiction Recovery. - Khaled Mohammed Saifuddin; Esra Akbas; Max Khanov; Jason Beaman (ICMLA, 2021)

Graph Classification via Heat Diffusion on Simplicial Complexes. - Mehmet Emin Aktas; Esra Akbas (IEEE Access, 2021)

Identifying critical higher-order interactions in complex networks. - Mehmet Emin Aktas; Thu Nguyen 002; Sidra Jawaid; Rakin Riza; Esra Akbas (CoRR, 2021)

The Need for Biometric Anti-spoofing Policies: The Case of Etsy. - Mohsen M. Jozani; Gianluca Zanella; Maxium Khanov; Gokila Dorai; Esra Akbas (ICDF2C, 2022)

Influence Maximization on Hypergraphs via Similarity-based Diffusion. - Mehmet Emin Aktas; Sidra Jawaid; Ihsan Gokalp; Esra Akbas (ICDM (Workshops), 2022)

EnD: Enhanced Dedensification for Graph Compressing and Embedding. - Tanvir Hossain; Esra Akbas; Muhammad Ifte Khairul Islam (ICDM (Workshops), 2022)

DDI Prediction via Heterogeneous Graph Attention Networks. - Farhan Tanvir; Khaled Mohammed Saifuddin; Esra Akbas (CoRR, 2022)

Predicting Drug-drug Interactions Using Heterogeneous Graph Attention Networks. - Farhan Tanvir; Khaled Mohammed Saifuddin; Muhammad Ifte Khairul Islam; Esra Akbas (BCB, 2023)

Seq-HyGAN: Sequence Classification via Hypergraph Attention Network. - Khaled Mohammed Saifuddin; Corey May; Farhan Tanvir; Muhammad Ifte Khairul Islam; Esra Akbas (CIKM, 2023)

HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network. - Khaled Mohammed Saifuddin; Briana Bumgardner; Farhan Tanvir; Esra Akbas (ICDE, 2023)

MPool: Motif-Based Graph Pooling. - Muhammad Ifte Khairul Islam; Max Khanov; Esra Akbas (PAKDD (2), 2023)

Hypergraph Classification via Persistent Homology. - Mehmet Emin Aktas; Thu Nguyen 002; Rakin Riza; Muhammad Ifte Islam; Esra Akbas (CoRR, 2023)

Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation. - Khaled Mohammed Saifuddin; Mehmet Emin Aktas; Esra Akbas (CoRR, 2023)

HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction. - Farhan Tanvir; Khaled Mohammed Saifuddin; Tanvir Hossain; Arunkumar Bagavathi; Esra Akbas (CoRR, 2023)

Liars are More Influential: Effect of Deception in Influence Maximization on Social Networks. - Mehmet Emin Aktas; Esra Akbas; Ashley Hahn (IEEE Big Data, 2024)

Understanding Online Platform Usage of Extremist Groups via Graph Analytics. - Tanvir Hossain; Esra Akbas; Anthony E. Lemieux; Virginia Massignan (IEEE Big Data, 2024)

DyGCL: Dynamic Graph Contrastive Learning For Event Prediction. - Muhammed Ifte Khairul Islam; Khaled Mohammed Saifuddin; Tanvir Hossain; Esra Akbas (IEEE Big Data, 2024)

HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing. - Farhan Tanvir; Khaled Mohammed Saifuddin; Tanvir Hossain; Arunkumar Bagavathi; Esra Akbas (DSAA, 2024)

Exploring Similarity-Based Graph Compression for Efficient Network Analysis and Embedding. - Hamdi Selim Akin; Mehmet Emin Aktas; Muhammed Ifte Islam; Tanvir Hossain; Esra Akbas (ICCCN, 2024)

Identifying and Analyzing Vault Apps. - Seth Barrett; Alex Salontai; Rajon Bardhan; Gokila Dorai; Esra Akbas; Patrick Woodell (IFIP Int. Conf. Digital Forensics, 2024)

Tackling Oversmoothing in GNN via Graph Sparsification. - Tanvir Hossain; Khaled Mohammed Saifuddin; Muhammad Ifte Khairul Islam; Farhan Tanvir; Esra Akbas (ECML/PKDD (8), 2024)

DyGCL: Dynamic Graph Contrastive Learning For Event Prediction. - Muhammad Ifte Khairul Islam; Khaled Mohammed Saifuddin; Tanvir Hossain; Esra Akbas (CoRR, 2024)

Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach. - Tanvir Hossain; Khaled Mohammed Saifuddin; Muhammad Ifte Khairul Islam; Farhan Tanvir; Esra Akbas (CoRR, 2024)

DDI Prediction With Heterogeneous Information Network - Meta-Path Based Approach. - Farhan Tanvir; Khaled Mohammed Saifuddin; Muhammad Ifte Khairul Islam; Esra Akbas (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Telegram as a Battlefield: Kremlin-Related Communications During the Russia-Ukraine Conflict. - Apaar Bawa; Ugur Kursuncu; Dilshod Achilov; Valerie L. Shalin; Nitin Agarwal 001; Esra Akbas (ICWSM, 2025)

SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity. - Bishal Thapaliya; Esra Akbas; Ram Sapkota; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2025)

Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. - Bishal Thapaliya; Esra Akbas; Jiayu Chen 003; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. - Bishal Thapaliya; Robyn L. Miller; Jiayu Chen 003; Yu-Ping Wang 002; Esra Akbas; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Santosh Ghimire; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)

HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views. - Khaled Mohammed Saifuddin; Shihao Ji 001; Esra Akbas (CoRR, 2025)