Khaled Mohammed Saifuddin

According to our database, Khaled Mohammed Saifuddin authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

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

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

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

HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing.

Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 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

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