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graph neural networks). Finally, as initiated in [4], a stronger adversary model can also be defined and studied whereby the active adversary who wishes to harm the model is aware of the underlying
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investigate the use of graph neural networks to solve graph and combinatorial problems, such as approximating centrality measures or performing network alignment. • Computational Neuroscience. We are interested
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exploration of the domain, as well as persistence theory. Additionally, we aim to extend the concept of saliency maps [1][2], used in 2D image analysis, to the 3D context. We will investigate the use
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Approach to Combining Reputation and Contract Theory”. In: IEEE Internet of Things Journal 6.6 (2019), pp. 10700– 10714. [12] Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, and Dong In Kim