RGCGT: A high-order feature learning framework for predicting disease-metabolite interaction using residual graph convolution and graph transformer
W.D. Liu, Pengli Lu, Jiajie Gao
Topics & Concepts
ResidualComputer scienceGraphTransformerArtificial intelligencePattern recognition (psychology)Machine learningTheoretical computer scienceAlgorithmVoltageQuantum mechanicsPhysicsMetabolomics and Mass Spectrometry StudiesArtificial Intelligence in HealthcareBioinformatics and Genomic Networks