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On the Robustness and Anomaly Detection of Sparse Neural Networks., , , , , и . CoRR, (2022)Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks., , , , и . CoRR, (2023)Revisiting Robustness in Graph Machine Learning., , , и . ICLR, OpenReview.net, (2023)Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning., , , , и . CoRR, (2023)Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance., , , и . ICLR, OpenReview.net, (2025)Explainable Graph Neural Networks Under Fire., , , , и . CoRR, (2024)Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks., , , , и . NeurIPS, (2022)Relaxing Graph Transformers for Adversarial Attacks., , , , и . CoRR, (2024)Transformers Meet Directed Graphs., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 11144-11172. PMLR, (2023)Are Defenses for Graph Neural Networks Robust?, , , и . CoRR, (2023)