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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ji-Ye Liang

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#graph neural networks Oct 2026

Invariant Subgraph Learning via Effective Environment Subgraph Augmentation for Generalizable Graph Neural Network

With the increasing prevalence of graph data in various practical applications, Graph Neural Networks (GNNs) have established themselves as essential tools for effective graph data processing. However, existing GNNs always perform well on in-distribution data, but exhibit significant performance degradation under distr...

Yu-Jie Wang, Kui Yu, Xiang Wang et al. · 0 citations
2025

FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning

Offline reinforcement learning (RL) aims to learn optimal policies from static datasets while enhancing generalization to out-of-distribution (OOD) data. To mitigate overfitting to suboptimal behaviors in offline datasets, existing methods often relax constraints on policy and data or extract informative patterns throu...

Da Wang, Yi Ma, Ting Guo et al. · 0 citations
2025

HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup

The proposed framework advances hypergraph representation learning by unifying data augmentation with higher-order topological constraints, offering both practical utility and theoretical insights for relational machine learning.

Kai-Xuan Yao, Zhuo Li, Jianqing Liang et al. · 0 citations

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