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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

Si-Yi Teng

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Open access Sep 2026

Break Iteration Barrier: Parallelize Priority-Based Graph Processing

Many graph processing systems and graph libraries have been developed to process and analyze graph data efficiently. Among the built-in graph algorithms, priority-based graph algorithms, such as Dijkstra's algorithm and greedy algorithms for combination optimization problems, e.g., influence maximization problem, rep...

Si-Yi Teng, Jeffrey Xu Yu · 0 citations
Jun 2026

ThunderGNN: Unlocking Tensor Cores for Graph Neural Networks

ThunderGNN is a hardware-aware acceleration system designed to reconcile graph irregularity with Tensor Core rigidity and significantly outperforms state-of-the-art systems, achieving geometric mean speedups of 1.89× over DGL and 2.59× over PyG.

Yuang Chen, Si-Yi Teng, Wen-Qi Zeng et al. · 0 citations
Jul 2026

Efficient discovery of arbitrary cycles in large-scale networks

This work studies a new query-efficient cycle basis (QCB) problem and devise efficient algorithms to find QCB with enhanced efficiency to enumerate cycles, and demonstrates the efficiency and scalability of the cycle enumeration algorithm based on QCB.

Siyi Teng, Jeffrey Xu Yu, Jiadong Xie · 0 citations

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