CurvePotGCN – A graph neural network to predict protein–protein interactions using surface curvature and electrostatic potential as node-features

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Graph Neural Network for Protein–Protein Interaction Prediction: A Comparative Study

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Predicting protein-protein interactions using high-quality non-interacting pairs

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Improving protein-protein interaction prediction using protein language model and protein network features

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DSSGNN-PPI: A Protein–Protein Interactions prediction model based on Double Structure and Sequence graph neural networks

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SpatialPPIv2: Enhancing protein–protein interaction prediction through graph neural networks with protein language models

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Prediction of Protein–Protein Interaction Sites Based on Stratified Attentional Mechanisms

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PiNUI: A Dataset of Protein–Protein Interactions for Machine LearningPreprint

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PPISHES —an enhanced physicochemical approach for predicting protein interaction sites using graph neural networks

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Prediction of protein–protein interaction using graph neural networks

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Multimodal graph, surface, and language-based model for protein protein interaction prediction

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Predicting Protein–Protein Interactions by Convolutional Neural Network Model

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