Jack Murdoch Moore

According to our database, Jack Murdoch Moore authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mixup in Latent Geometry for Graph Classification.

Zijia Liu, Xiaolei Ru, Jack Murdoch Moore, Xinya Zhang, Gang Yan

IEEE Trans. Netw. Sci. Eng., 2024

Maintaining Adversarial Robustness in Continuous Learning.

Xiaolei Ru, Xiaowei Cao, Zijia Liu, Jack Murdoch Moore, Xinya Zhang, Xia Zhu, Wenjia Wei, Gang Yan

CoRR, 2024

2023

Global stability and optimal control of epidemics in heterogeneously structured populations exhibiting adaptive behavior.

Lixiang Liu, Shanshan Chen, Michael Small, Jack Murdoch Moore, Keke Shang

Commun. Nonlinear Sci. Numer. Simul., November, 2023

Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect.

Xiaolei Ru, Xinya Zhang, Zijia Liu, Jack Murdoch Moore, Gang Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inferring Patient Zero on Temporal Networks via Graph Neural Networks.

Xiaolei Ru, Jack Murdoch Moore, Xinya Zhang, Yeting Zeng, Gang Yan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Causal networks reveal the response of Chinese stocks to modern crises.

Haiying Wang, Ziyan Du, Jack Murdoch Moore, Huijie Yang, Changgui Gu

Inf. Sci., 2022

Epidemic dynamics on higher-dimensional small world networks.

Haiying Wang, Jack Murdoch Moore, Michael Small, Jun Wang, Huijie Yang, Changgui Gu

Appl. Math. Comput., 2022

2021

The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks.

Haiying Wang, Jack Murdoch Moore, Jun Wang, Michael Small

Appl. Math. Comput., 2021

2019

Detecting and Predicting Tipping Points.

Xiaoyi Peng, Michael Small, Yi Zhao, Jack Murdoch Moore

Int. J. Bifurc. Chaos, 2019

Review mechanism promotes knowledge transmission in complex networks.

Haiying Wang, Jun Wang, Michael Small, Jack Murdoch Moore

Appl. Math. Comput., 2019

2018

Estimating dynamical dimensions from noisy observations.

Jack Murdoch Moore, Michael Small

Inf. Sci., 2018