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Training Differentially Private Graph Neural Networks with Random Walk Sampling.

, , , , и . CoRR, (2023)

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End-to-End Learning of Probabilistic Hierarchies on Graphs., , , , и . ICLR, OpenReview.net, (2022)Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?, , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 5707-5718. PMLR, (2021)Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts., , и . NeurIPS, (2020)Adversarial Attacks on Graph Neural Networks via Meta Learning, и . arXiv:1902.08412 cs, stat, (февраля 2019)arXiv: 1902.08412.Oktoberfest Food Dataset., , , , , и . CoRR, (2019)Adversarial Attacks on Graph Neural Networks., , и . GI-Jahrestagung, том P-294 из LNI, стр. 251-252. GI, (2019)Robustness of Graph Neural Networks at Scale., , , , , и . NeurIPS, стр. 7637-7649. (2021)Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions., , , , и . ICLR, OpenReview.net, (2022)Certifiable Robustness and Robust Training for Graph Convolutional Networks., и . KDD, стр. 246-256. ACM, (2019)Group Centrality Maximization for Large-scale Graphs., , , , , и . ALENEX, стр. 56-69. SIAM, (2020)