no code implementations • 19 May 2024 • Bishal Thapaliya, Robyn Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince Calhoun, Jingyu Liu
Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique pivotal for understanding human neural mechanisms of intricate cognitive processes.
no code implementations • 30 Nov 2023 • Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas
To address these challenges, we effectively model the interconnectedness of all entities in a heterogeneous graph and develop a novel Heterogeneous Graph Triplet Attention Network (\texttt{HeTriNet}).
1 code implementation • 6 Nov 2023 • Bishal Thapaliya, Esra Akbas, Jiayu Chen, Raam Sapkota, Bhaskar Ray, Pranav Suresh, Vince Calhoun, Jingyu Liu
Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating the relationship between brain function and cognitive processes as it allows for the functional organization of the brain to be captured without relying on a specific task or stimuli.
no code implementations • 14 Oct 2023 • Khaled Mohammed Saifuddin, Mehmet Emin Aktas, Esra Akbas
Further, we present a structure-aware self-attention mechanism that discovers the important nodes and hyperedges from both semantic and structural viewpoints.
no code implementations • 7 Mar 2023 • Muhammad Ifte Khairul Islam, Max Khanov, Esra Akbas
Graph Neural networks (GNNs) have recently become a powerful technique for many graph-related tasks including graph classification.
no code implementations • 4 Mar 2023 • Khaled Mohammed Saifuddin, Corey May, Farhan Tanvir, Muhammad Ifte Khairul Islam, Esra Akbas
To address these challenges in the sequence classification problems, we propose a novel Hypergraph Attention Network model, namely Seq-HyGAN.
no code implementations • 12 Jul 2022 • Farhan Tanvir, Khaled Mohammed Saifuddin, Esra Akbas
Then, we develop a heterogeneous graph attention network to learn DDIs using relations of drugs with other entities.
no code implementations • 25 Jun 2022 • Khaled Mohammed Saifuddin, Briana Bumgardner, Farhan Tanvir, Esra Akbas
However, these models have a high chance of failure, especially for the new drugs when all the information is not available.
no code implementations • 17 Feb 2021 • Mehmet Emin Aktas, Esra Akbas
Networks are important structures used to model complex systems where interactions take place.
Social and Information Networks Spectral Theory 55U10, 91D30
1 code implementation • 5 Jul 2019 • Esra Akbas, Mehmet Aktas
For the first problem, we propose a neighborhood similarity based graph compression method that compresses the input graph to get a smaller graph without losing any/much information about the global structure of the graph and the local proximity of the vertices in the graph.
no code implementations • 31 Mar 2017 • Esra Akbas
We focus on a non-English language that has few resources for text mining.