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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

Jia-Hui Chen

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Preprint Sep 2026

PHL: Persistent Hyperdigraph Learning for Protein-Protein Binding Affinity Prediction

Persistent homology and persistent Laplacians have become effective descriptors of large molecular binding interactions, the latter encoding multiscale geometry and spectral information beyond the harmonic subspace. Both, however, are built on undirected graphs and pairwise contracts, while the interactions that determ...

Xing-Jian Xu, Chun-Mei Wang, Jia-Hui Chen · 0 citations
Open access Jan 2026

An algebraic graph neural network model for protein-ligand binding affinity prediction

An Algebraic Graph Neural Network model designed to encode molecular structures into a low-dimensional graph representation while preserving critical biochemical interactions is introduced, demonstrating superior performance in binding affinity prediction compared to state-of-the-art scoring functions.

Augustine Ouru, Xi Chen, Cameron Yeagle et al. · 0 citations

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