A hybrid supervised and self-supervised graph neural network with node-edge attention matches or exceeds existing methods on protein-protein interaction, gene ontology, and compound similarity prediction.
Deep Learning for Recommender Systems: A Netflix Case Study,
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A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
A hybrid supervised and self-supervised graph neural network with node-edge attention matches or exceeds existing methods on protein-protein interaction, gene ontology, and compound similarity prediction.