Khaled Mohammed Saifuddin

According to our database, Khaled Mohammed Saifuddin authored at least 9 papers between 2021 and 2023.

Collaborative distances:

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

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

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

Khaled Mohammed Saifuddin, Mehmet Emin Aktas, Esra Akbas

CoRR, 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

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

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

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