Esra Akbas

According to our database, Esra Akbas authored at least 41 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks.

Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu

CoRR, 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.

Tanvir Hossain, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Farhan Tanvir, Esra Akbas

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 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

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

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

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data.

Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu

CoRR, 2023

Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation.

Khaled Mohammed Saifuddin, Mehmet Emin Aktas, Esra Akbas

CoRR, 2023

Hypergraph Classification via Persistent Homology.

Mehmet Emin Aktas, Thu Nguyen, Rakin Riza, Muhammad Ifte Islam, Esra Akbas

CoRR, 2023

MPool: Motif-Based Graph Pooling.

Muhammad Ifte Khairul Islam, Max Khanov, Esra Akbas

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network.

Khaled Mohammed Saifuddin, Briana Bumgardner, Farhan Tanvir, Esra Akbas

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Seq-HyGAN: Sequence Classification via Hypergraph Attention Network.

Khaled Mohammed Saifuddin, Corey May, Farhan Tanvir, Muhammad Ifte Khairul Islam, Esra Akbas

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Predicting Drug-drug Interactions Using Heterogeneous Graph Attention Networks.

Farhan Tanvir, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Esra Akbas

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

DDI Prediction via Heterogeneous Graph Attention Networks.

Farhan Tanvir, Khaled Mohammed Saifuddin, Esra Akbas

CoRR, 2022

Liars are more influential: Effect of Deception in Influence Maximization on Social Networks.

Mehmet Emin Aktas, Esra Akbas, Ashley Hahn

CoRR, 2022

EnD: Enhanced Dedensification for Graph Compressing and Embedding.

Tanvir Hossain, Esra Akbas, Muhammad Ifte Khairul Islam

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Influence Maximization on Hypergraphs via Similarity-based Diffusion.

Mehmet Emin Aktas, Sidra Jawaid, Ihsan Gokalp, Esra Akbas

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

The Need for Biometric Anti-spoofing Policies: The Case of Etsy.

Mohsen M. Jozani, Gianluca Zanella, Maxium Khanov, Gokila Dorai, Esra Akbas

Proceedings of the Digital Forensics and Cyber Crime - 13th EAI International Conference, 2022

2021

Identifying critical higher-order interactions in complex networks.

Mehmet Emin Aktas, Thu Nguyen, Sidra Jawaid, Rakin Riza, Esra Akbas

CoRR, 2021

Graph Classification via Heat Diffusion on Simplicial Complexes.

Mehmet Emin Aktas, Esra Akbas

IEEE Access, 2021

Effects of COVID-19 on individuals in Opioid Addiction Recovery.

Khaled Mohammed Saifuddin, Esra Akbas, Max Khanov, Jason Beaman

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Homology Preserving Graph Compression.

Mehmet Emin Aktas, Thu Nguyen, Esra Akbas

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Influential nodes detection in complex networks via diffusion Fréchet function.

Mehmet Emin Aktas, Sidra Jawaid, Ebony Harrington, Esra Akbas

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Hypergraph Laplacians in Diffusion Framework.

Mehmet Emin Aktas, Esra Akbas

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Predicting Drug-Drug Interactions Using Meta-path Based Similarities.

Farhan Tanvir, Muhammad Ifte Islam, Esra Akbas

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

Drug Abuse Detection in Twitter-sphere: Graph-Based Approach.

Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Esra Akbas

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Drug-Drug Interaction Prediction: a Purely SMILES Based Approach.

Bri Bumgardner, Farhan Tanvir, Khaled Mohammed Saifuddin, Esra Akbas

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Proximity-Based Compression for Network Embedding.

Muhammad Ifte Islam, Farhan Tanvir, Ginger Johnson, Esra Akbas, Mehmet Emin Aktas

Frontiers Big Data, 2020

2019

Computing the Braid Monodromy of Completely Reducible <i>n</i>-gonal Curves.

Mehmet Emin Aktas, Esra Akbas

ACM Trans. Math. Softw., 2019

Persistence homology of networks: methods and applications.

Mehmet Emin Aktas, Esra Akbas, Ahmed El Fatmaoui

Appl. Netw. Sci., 2019

Text Classification via Network Topology: A Case Study on the Holy Quran.

Mehmet Emin Aktas, Esra Akbas

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Paper Recommendation Based on Citation Relation.

William Tanner, Esra Akbas, Mir Hasan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Network Embedding: on Compression and Learning.

Esra Akbas, Mehmet Emin Aktas

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Index Based Efficient Algorithms For Closest Community Search.

Esra Akbas

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Truss-based Community Search: a Truss-equivalence Based Indexing Approach.

Esra Akbas, Peixiang Zhao

Proc. VLDB Endow., 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

Opinion Mining on Non-English Short Text.

Esra Akbas

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Attributed Graph Clustering: an Attribute-aware Graph Embedding Approach.

Esra Akbas, Peixiang Zhao

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

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

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