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From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach.

, , , , , and . CoRR, (2023)

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Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference., , , , , , , and . IEEE J. Sel. Top. Signal Process., 14 (4): 623-633 (2020)From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach., , , , , and . CoRR, (2023)Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent., , , , and . CoRR, (2020)Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent., , , , , and . SIAM J. Imaging Sci., 15 (2): 738-761 (2022)Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data., , , , , and . CoRR, (2023)API parameter recommendation based on language model and program analysis., , , , , and . APSEC, page 492-496. IEEE, (2021)Heavy Ball Neural Ordinary Differential Equations., , , , , , and . NeurIPS, page 18646-18659. (2021)Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning., , , , , and . CoRR, (2018)Learning Near-optimal Convex Combinations of Basis Models with Generalization Guarantees., , and . CoRR, (2019)Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals., , and . CoRR, (2023)