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Graph Convolution Based Attention Model for Personalized Disease Prediction., , , , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 122-130. Springer, (2019)Differentiable Graph Module (DGM) Graph Convolutional Networks., , , and . CoRR, (2020)DG-GRU: dynamic graph based gated recurrent unit for age and gender prediction using brain imaging., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Self-Attention Equipped Graph Convolutions for Disease Prediction., , , , , and . ISBI, page 1896-1899. IEEE, (2019)Latent Graph Inference using Product Manifolds., , , and . ICLR, OpenReview.net, (2023)Automatic Classification of Proximal Femur Fractures Based on Attention Models., , , , , , and . MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 70-78. Springer, (2017)InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction., , , , , , , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 73-85. Springer, (2019)Latent-Graph Learning for Disease Prediction., , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 643-653. Springer, (2020)IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction., , , and . MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 382-392. Springer, (2023)GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference., , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 709-718. Springer, (2021)