6 citations · 14 across the 5 of their papers we have counts for
5 papers
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
Tanvir Hossain, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam +2
Graph Neural Network (GNN) achieves great success for node-level and graph-level tasks via encoding meaningful topological structures of networks in various domains, ranging from s…
HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction
Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain +2
Modeling the interactions between drugs, targets, and diseases is paramount in drug discovery and has significant implications for precision medicine and personalized treatments. C…
Seq-HyGAN: Sequence Classification via Hypergraph Attention Network
Khaled Mohammed Saifuddin, Corey May, Farhan Tanvir +2
Sequence classification has a wide range of real-world applications in different domains, such as genome classification in health and anomaly detection in business. However, the la…
DDI Prediction via Heterogeneous Graph Attention Networks
Farhan Tanvir, Khaled Mohammed Saifuddin, Esra Akbas
Polypharmacy, defined as the use of multiple drugs together, is a standard treatment method, especially for severe and chronic diseases. However, using multiple drugs together may…
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
Khaled Mohammed Saifuddin, Briana Bumgardner, Farhan Tanvir +1
Drug-Drug Interactions (DDIs) may hamper the functionalities of drugs, and in the worst scenario, they may lead to adverse drug reactions (ADRs). Predicting all DDIs is a challengi…