Identifying influential nodes in heterogeneous networks. - Soheila Molaei; Reza Farahbakhsh; Mostafa Salehi; Noël Crespi (Expert Syst. Appl., 2020)

Deep learning approach on information diffusion in heterogeneous networks. - Soheila Molaei; Hadi Zare 001; Hadi Veisi (Knowl. Based Syst., 2020)

Manifold Approximation and Projection by Maximizing Graph Information. - Bahareh Fatemi; Soheila Molaei; Hadi Zare 001; Shirui Pan (PAKDD (3), 2021)

Collaborative Deep Forest Learning for Recommender Systems. - Soheila Molaei; Amirhossein Havvaei; Hadi Zare 001; Mahdi Jalili (IEEE Access, 2021)

Classification of audio codecs with variable bit-rates using deep-learning methods. - Atieh Khodadadi; Soheila Molaei; Mehdi Teimouri; Hadi Zare 001 (Digit. Signal Process., 2021)

Deep node clustering based on mutual information maximization. - Soheila Molaei; Nima Ghanbari Bousejin; Hadi Zare 001; Mahdi Jalili (Neurocomputing, 2021)

GCNFusion: An efficient graph convolutional network based model for information diffusion. - Bahareh Fatemi; Soheila Molaei; Shirui Pan; Samira Abbasgholizadeh Rahimi (Expert Syst. Appl., 2022)

Adversarial De-confounding in Individualised Treatment Effects Estimation. - Vinod Kumar Chauhan; Soheila Molaei; Marzia Hoque Tania; Anshul Thakur; Tingting Zhu 001; David A. Clifton (AISTATS, 2023)

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. - Xin Zheng 008; Miao Zhang; Chunyang Chen 001; Soheila Molaei; Chuan Zhou 001; Shirui Pan (NeurIPS, 2023)

Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. - Vinod Kumar Chauhan; Jiandong Zhou 003; Soheila Molaei; Ghadeer O. Ghosheh; David A. Clifton (CoRR, 2023)

Graph representation learning based on deep generative gaussian mixture models. - Ghazaleh Niknam; Soheila Molaei; Hadi Zare 001; David A. Clifton; Shirui Pan (Neurocomputing, 2023)

Learning Graph Representations With Maximal Cliques. - Soheila Molaei; Nima Ghanbari Bousejin; Hadi Zare 001; Mahdi Jalili; Shirui Pan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Improving Diagnostics with Deep Forest Applied to Electronic Health Records. - Atieh Khodadadi; Nima Ghanbari Bousejin; Soheila Molaei; Vinod Kumar Chauhan; Tingting Zhu 001; David A. Clifton (Sensors, 2023)

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. - Ghazaleh Niknam; Soheila Molaei; Hadi Zare 001; Shirui Pan; Mahdi Jalili; Tingting Zhu 001; David A. Clifton (Neural Networks, 2023)

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. - Vinod Kumar Chauhan; Jiandong Zhou 003; Ghadeer O. Ghosheh; Soheila Molaei; David A. Clifton (AISTATS, 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 001; David A. Clifton (AISTATS, 2024)

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis. - Anshul Thakur; Yichen Huang; Soheila Molaei; Yujiang Wang 001; David A. Clifton (CoRR, 2024)

Temporal dynamics unleashed: Elevating variational graph attention. - Soheila Molaei; Ghazaleh Niknam; Ghadeer O. Ghosheh; Vinod Kumar Chauhan; Hadi Zare 001; Tingting Zhu 001; Shirui Pan; David A. Clifton (Knowl. Based Syst., 2024)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. - Anshul Thakur; Soheila Molaei; Pafue Christy Nganjimi; Fenglin Liu; Andrew A. S. Soltan; Patrick Schwab; Kim Branson 001; David A. Clifton (npj Digit. Medicine, 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 001; David A. Clifton (npj Digit. Medicine, 2024)

A brief review of hypernetworks in deep learning. - Vinod Kumar Chauhan; Jiandong Zhou 003; Ping Lu 003; Soheila Molaei; David A. Clifton (Artif. Intell. Rev., 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 001; David A. Clifton (J. Heal. Informatics Res., 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., 2024)

Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation. - Anshul Thakur; Elena Gal; Soheila Molaei; Xiao Gu 003; Patrick Schwab; Danielle Belgrave; Kim Branson 001; David A. Clifton (AISTATS, 2025)

Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation. - Anshul Thakur; Soheila Molaei; Patrick Schwab; Danielle Belgrave; Kim Branson 001; David A. Clifton (AISTATS, 2025)

RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. - Fenglin Liu; Jinge Wu; Hongjian Zhou; Xiao Gu 003; Soheila Molaei; Anshul Thakur; Lei A. Clifton; Honghan Wu; David A. Clifton (CoRR, 2025)

DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation. - Munib Mesinovic; Soheila Molaei; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2025)