TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics-Reference-Cited by-同舟云学术

TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics

Published:2024-08-24 Issue: Volume:33 Page:1875-1886
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Liu Chang¹^ORCID,Ding Jingtao¹^ORCID,Song Yiwen²^ORCID,Li Yong¹^ORCID

Affiliation:

1. Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China

2. Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671934

Reference60 articles.

1. Réka Albert and Albert-László Barabási. 2002. Statistical mechanics of complex networks. Reviews of modern physics, Vol. 74, 1 (2002), 47.

2. Warder Clyde Allee Orlando Park Alfred E Emerson Thomas Park Karl P Schmidt et al. 1949. Principles of animal ecology. Number Edn 1. WB Saundere Co. Ltd.

3. Uri Alon. 2019. An introduction to systems biology: design principles of biological circuits. CRC press.

4. Deep evidential regression;Amini Alexander;Advances in Neural Information Processing Systems,2020

5. Structured denoising diffusion models in discrete state-spaces;Austin Jacob;Advances in Neural Information Processing Systems,2021

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