Soheila Molaei

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Heterogeneous Networks

Graph Representations

Information Diffusion

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton
Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. 299 (2024)
Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. 8 (3) (2024)
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
A brief review of hypernetworks in deep learning. Artif. Intell. Rev. 57 (9) (2024)
Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. AISTATS (2024)
Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. AISTATS (2024)
Ghazaleh Niknam, Soheila Molaei, Hadi Zare, David Clifton, Shirui Pan
Graph representation learning based on deep generative gaussian mixture models. Neurocomputing 523 (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR (2023)
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS (2023)
Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton
Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR (2023)
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
A Brief Review of Hypernetworks in Deep Learning. CoRR (2023)
Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors 23 (14) (2023)
Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili, Shirui Pan
Learning Graph Representations With Maximal Cliques. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. Neural Networks 165 (2023)
Bahareh Fatemi, Soheila Molaei, Shirui Pan, Samira Abbasgholizadeh Rahimi
GCNFusion: An efficient graph convolutional network based model for information diffusion. Expert Syst. Appl. 202 (2022)
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR (2022)
Bahareh Fatemi, Soheila Molaei, Hadi Zare, Shirui Pan
Manifold Approximation and Projection by Maximizing Graph Information. PAKDD (3) (2021)
Atieh Khodadadi, Soheila Molaei, Mehdi Teimouri, Hadi Zare
Classification of audio codecs with variable bit-rates using deep-learning methods. Digit. Signal Process. 110 (2021)
Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili
Deep node clustering based on mutual information maximization. Neurocomputing 455 (2021)
Soheila Molaei, Amirhossein Havvaei, Hadi Zare, Mahdi Jalili
Collaborative Deep Forest Learning for Recommender Systems. IEEE Access 9 (2021)
Soheila Molaei, Hadi Zare, Hadi Veisi
Deep learning approach on information diffusion in heterogeneous networks. Knowl. Based Syst. 189 (2020)
Soheila Molaei, Reza Farahbakhsh, Mostafa Salehi, Noël Crespi
Identifying influential nodes in heterogeneous networks. Expert Syst. Appl. 160 (2020)
Soheila Molaei, Hadi Zare, Hadi Veisi
Deep Learning Approach on Information Diffusion in Heterogeneous Networks. CoRR (2019)