1 code implementation • 3 Nov 2023 • Qiang Wu, Yiming Huang, Yujie Zeng, Yijie Teng, Fang Zhou, Linyuan Lü
Here, we introduce a Cooperative Network Learning (CNL) framework to ensure secure graph computing for various graph tasks.
1 code implementation • 22 Sep 2023 • Yiming Huang, Yujie Zeng, Qiang Wu, Linyuan Lü
Despite the recent successes of vanilla Graph Neural Networks (GNNs) on various tasks, their foundation on pairwise networks inherently limits their capacity to discern latent higher-order interactions in complex systems.
Ranked #1 on Node Classification on Texas
no code implementations • 11 Jul 2023 • Yujie Zeng, Yiming Huang, Qiang Wu, Linyuan Lü
It can tackle higher-order tasks by leveraging novel higher-order presentations: hierarchical bipartite graphs and higher-order hierarchical (HoH) Laplacians, where targeted simplices are grouped into a hub set and can interact with other simplices.
no code implementations • 7 Dec 2022 • Bo Liu, Rongmei Yang, Hao Wang, Linyuan Lü
This study reports for the first time a complete cavity map of C. elegans neural network, developing a new method for mining higher-order structures that can be applied by researchers in neuroscience, network science and other interdisciplinary fields to explore higher-order structural markers of complex systems.
1 code implementation • 2 Nov 2022 • Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie
Deep reinforcement learning (DRL) is becoming increasingly popular in implementing traffic signal control (TSC).
1 code implementation • 19 Dec 2021 • Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu
Many studies confirmed that a proper traffic state representation is more important than complex algorithms for the classical traffic signal control (TSC) problem.
1 code implementation • 4 Dec 2021 • Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu
Since conventional approaches could not adapt to dynamic traffic conditions, reinforcement learning (RL) has attracted more attention to help solve the traffic signal control (TSC) problem.
1 code implementation • 4 Aug 2021 • Hao Wang, Yue Deng, Linyuan Lü, Guanrong Chen
Graphs can be used to describe complex systems.
no code implementations • 15 Jan 2020 • Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü, Matúš Medo
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent.
1 code implementation • 6 Feb 2012 • Linyuan Lü, Matus Medo, Chi Ho Yeung, Yi-Cheng Zhang, Zi-Ke Zhang, Tao Zhou
In this article, we review recent developments in recommender systems and discuss the major challenges.