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

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)

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)