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Author

Jing Chen

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Aug 2026

ARF-GNN: Adaptive receptive field graph neural network for protein function prediction.

This work proposes ARF-GNN, an adaptive receptive field graph neural network tailored for protein function prediction, which dynamically models structural context via hierarchical multi-hop neighborhood aggregation and introduces a dual-branch meta-learning framework.

Zhiqiang Hui, Weizhong Lu, Yiyi Xia et al. · 0 citations
Jun 2026

RGTBind: RBF-gate graph transformer with spatially biased attention for protein–DNA binding-site prediction

RGTBind, a graph transformer that combines multi-scale radial basis function distance encoding with a learnable threshold-gating mechanism to model spatially informative residue interactions, achieved the best F1, AUC, and MCC among the compared methods.

Yi Qiu, Duo Zhao, Y. Ye et al. · 0 citations