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Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models., , , , , , and . IEEE BigData, page 1214-1225. IEEE, (2021)Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance., , , , , , , , and . CoRR, (2024)Neural Execution Engines: Learning to Execute Subroutines., , , , and . NeurIPS, (2020)Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective., , and . CoRR, (2023)Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices., , , , and . WWW, page 1538-1549. ACM, (2022)Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks., , , , and . KDD, page 1223-1234. ACM, (2023)A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks., , , , and . 3DV, page 1331-1340. IEEE, (2021)Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs., , , , , and . NeurIPS, (2020)Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification., , , , and . CoRR, (2024)Firmware Vulnerability Detection Algorithm Based on Matching Pattern-Specific Numerical Features With Structural Features., , , and . IEEE Access, (2024)