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Soheila Molaei
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2020 – today
- 2024
- [j15]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): 250 (2024) - [j14]Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. 8(3): 555-575 (2024) - [j13]Soheila Molaei
Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. 299: 112110 (2024) - [j12]Vinod Kumar Chauhan
Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. 24(1): 117 (2024) - [j11]Anshul Thakur
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine 7(1) (2024) - [c5]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: 1342-1350 - [c4]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: 3529-3537 - 2023
- [j10]Ghazaleh Niknam
Graph representation learning based on deep generative gaussian mixture models. Neurocomputing 523: 157-169 (2023) - [j9]Ghazaleh Niknam
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. Neural Networks 165: 596-610 (2023) - [j8]Atieh Khodadadi
Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors 23(14): 6571 (2023) - [j7]Soheila Molaei
Learning Graph Representations With Maximal Cliques. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1089-1096 (2023) - [c3]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: 837-849 - [c2]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS 2023 - [i5]Vinod Kumar Chauhan
Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR abs/2305.15984 (2023) - [i4]Vinod Kumar Chauhan
A Brief Review of Hypernetworks in Deep Learning. CoRR abs/2306.06955 (2023) - [i3]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR abs/2310.14586 (2023) - 2022
- [j6]Bahareh Fatemi, Soheila Molaei
GCNFusion: An efficient graph convolutional network based model for information diffusion. Expert Syst. Appl. 202: 117053 (2022) - [i2]Vinod Kumar Chauhan
Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR abs/2210.10530 (2022) - 2021
- [j5]Soheila Molaei, Amirhossein Havvaei, Hadi Zare
Collaborative Deep Forest Learning for Recommender Systems. IEEE Access 9: 22053-22061 (2021) - [j4]Atieh Khodadadi
Classification of audio codecs with variable bit-rates using deep-learning methods. Digit. Signal Process. 110: 102952 (2021) - [j3]Soheila Molaei, Nima Ghanbari Bousejin
Deep node clustering based on mutual information maximization. Neurocomputing 455: 274-282 (2021) - [c1]Bahareh Fatemi, Soheila Molaei, Hadi Zare, Shirui Pan:
Manifold Approximation and Projection by Maximizing Graph Information. PAKDD (3) 2021: 128-140 - 2020
- [j2]Soheila Molaei, Reza Farahbakhsh
Identifying influential nodes in heterogeneous networks. Expert Syst. Appl. 160: 113580 (2020) - [j1]Soheila Molaei, Hadi Zare, Hadi Veisi
Deep learning approach on information diffusion in heterogeneous networks. Knowl. Based Syst. 189 (2020)
2010 – 2019
- 2019
- [i1]Soheila Molaei, Hadi Zare, Hadi Veisi:
Deep Learning Approach on Information Diffusion in Heterogeneous Networks. CoRR abs/1902.08810 (2019)
Coauthor Index
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