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Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification.

, , , , и . NeurIPS, стр. 18033-18048. (2021)

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Stephan Günnemann

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Hubert Gunnemann

 

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On Second-order Optimization Methods for Federated Learning., , , и . CoRR, (2021)Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping., , и . ECML/PKDD (3), том 11053 из Lecture Notes in Computer Science, стр. 86-102. Springer, (2018)Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning., , , , и . ICMLA, стр. 737-742. IEEE, (2022)Pattern detector: fast detection of suspicious stream patterns for immediate reaction., , , и . EDBT, том 426 из ACM International Conference Proceeding Series, стр. 709-712. ACM, (2010)Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs., , , , и . CoRR, (2020)Certifiable Robustness to Graph Perturbations., и . NeurIPS, стр. 8317-8328. (2019)Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts., , и . NeurIPS, (2020)Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks., , , , и . NeurIPS, (2022)Invariance-Aware Randomized Smoothing Certificates., и . NeurIPS, (2022)GemNet: Universal Directional Graph Neural Networks for Molecules., , и . NeurIPS, стр. 6790-6802. (2021)