A central question in neuroscience is how self-organizing dynamic interactions in the brain emerge on their relatively static structural backbone. Due to the complexity of spatial and temporal dependencies betw
10. Graphlime: Local interpretable model explanations for graph neural networks 11. Graph neural networks in network neuroscience 12. Self-supervised learning of graph neural networks: A unified review 13. Protgnn: Towards self-explaining graph neural networks 14. Graph neural networks for recommender...
2022, Frontiers in Oncology Show abstract Graph Neural Networks in Network Neuroscience 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence View all citing articles on Scopus1 Dr Islem Rekik, http://basira-lab.com/, GitHub code: https://github.com/basiralab/BGSRView...
Graph neural networks in network neuroscience. IEEE Trans Pattern Anal Mach Intell. 2022. https://doi.org/10.1109/TPAMI.2022.3209686. Article Google Scholar Peng W, et al. Improving cancer driver gene identification using multi-task learning on graph convolutional network. Brief Bioinform. 2022. ...
(2021). Graph neural networks in network neuroscience. arXiv preprint arXiv:2106.03535. Google Scholar Cao et al., 2021 M. Cao, M. Yang, C. Qin, X. Zhu, Y. Chen, J. Wang, T. Liu Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data Biomed. ...
The evaluation of the efficacy of immunotherapy is of great value for the clinical treatment of bladder cancer. Graph Neural Networks (GNNs), pathway analysis and multi-omics analysis have shown great potential in the field of cancer diagnosis and treatm
Mathematical Models of Cognitive Processes and Neural Networks Network Models Systems Neuroscience Introduction Brain connectivity comes in different flavors, either resting on the structural anatomical layout, as derived from diffusion tensor imaging (DTI) or based on temporally resolved activity patterns, ...
Graph neural networks in network neuroscience. IEEE Trans Pattern Anal Mach Intell. 2023;45(5):5833–48. https://doi.org/10.1109/TPAMI.2022.3209686. Article PubMed Google Scholar Ahmedt-Aristizabal D, Armin MA, Denman S, Fookes C, Petersson L. Graph-based deep learning for medical ...
Graph Neural Networks in Network NeuroscienceIEEE TPAMI2022- The toy example of different types of brain graph generated Prediction-Based Static Brain Graph Learning Paper TitleVenueYearModelCode EEG-Based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Co...
We introduce the scGNN (single-cell graph neural network) to provide a hypothesis-free deep learning framework for scRNA-Seq analyses. This framework formulates and aggregates cell–cell relationships with graph neural networks and models heterogeneous gene expression patterns using a left-truncated ...