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Published in Proceedings of International Joint Conference on Neural Networks (IJCNN), 2022
This paper investigates the influence of missing edges in predicting network robustness using convolutional neural networks.
Published in IEEE Transactions on Neural Networks and Learning Systems, 2023
This paper investigates the influence of training data distributions for predicting network robustness.
Published in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
This paper proposed a simple yet effective framework for graph classification.
Published in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
This paper investigates the influence of node and edge noises in predicting network robustness using different CNN-based models.
Published in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
This paper proposed a Nested Edge Addition Strategy for Network Controllability Robustness Enhancement.
Published in Entropy, 2023
This paper proposed a leaf node neighbors based attack model for network controllability.
Published in IEEE Transactions on Circuits and Systems I: Regular Papers, 2023
This paper proposed a spatial pyramid pooling based CNN model for predicting network robustness, which has wider tolerance to network size, while maintaining fast speed.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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