Soheila Molaei

According to our database, Soheila Molaei authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

Continuous patient state attention model for addressing irregularity in electronic health records.

Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton

BMC Medical Informatics Decis. Mak., December, 2024

CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks.

Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton

J. Heal. Informatics Res., September, 2024

A brief review of hypernetworks in deep learning.

Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton

Artif. Intell. Rev., September, 2024

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton

npj Digit. Medicine, 2024

Temporal dynamics unleashed: Elevating variational graph attention.

Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton

Knowl. Based Syst., 2024

Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks.

Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation.

Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.

Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton

Neural Networks, August, 2023

Improving Diagnostics with Deep Forest Applied to Electronic Health Records.

Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton

Sensors, July, 2023

Learning Graph Representations With Maximal Cliques.

Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili, Shirui Pan

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Graph representation learning based on deep generative gaussian mixture models.

Ghazaleh Niknam, Soheila Molaei, Hadi Zare, David A. Clifton, Shirui Pan

Neurocomputing, 2023

Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation.

Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton

CoRR, 2023

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels.

Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial De-confounding in Individualised Treatment Effects Estimation.

Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

GCNFusion: An efficient graph convolutional network based model for information diffusion.

Bahareh Fatemi, Soheila Molaei, Shirui Pan, Samira Abbasgholizadeh Rahimi

Expert Syst. Appl., 2022

2021

Deep node clustering based on mutual information maximization.

Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili

Neurocomputing, 2021

Classification of audio codecs with variable bit-rates using deep-learning methods.

Atieh Khodadadi, Soheila Molaei, Mehdi Teimouri, Hadi Zare

Digit. Signal Process., 2021

Collaborative Deep Forest Learning for Recommender Systems.

Soheila Molaei, Amirhossein Havvaei, Hadi Zare, Mahdi Jalili

IEEE Access, 2021

Manifold Approximation and Projection by Maximizing Graph Information.

Bahareh Fatemi, Soheila Molaei, Hadi Zare, Shirui Pan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Deep learning approach on information diffusion in heterogeneous networks.

Soheila Molaei, Hadi Zare, Hadi Veisi

Knowl. Based Syst., 2020

Identifying influential nodes in heterogeneous networks.

Soheila Molaei, Reza Farahbakhsh, Mostafa Salehi, Noël Crespi

Expert Syst. Appl., 2020