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Author

Xiaorui Liu

2 papers indexed here

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Traffic Engineering in Large-Scale Networks With Generalizable Graph Neural Networks

TELGEN is a novel TE algorithm that learns to solve TE problems efficiently in large-scale network scenarios, while achieving superior generalizability across diverse network conditions and shows less than 3% optimality gap while ensuring feasibility in all testing scenarios.

Fangtong Zhou, Sihao Liu, Xiaorui Liu et al. · 1 citation

Harnessing Trust in Directed Graphs: Redefining Robustness of Graph Learning

The findings show that the trust signals encoded in directed graphs can be harnessed to substantially improve the robustness of GNNs and point to a novel and promising direction for strengthening the robustness of graph deep learning.

Zhi-Chao Hou, Xitong Zhang, Wei Wang et al. · 0 citations

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