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Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness.

, , , , and . ICLR, OpenReview.net, (2022)

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Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks., , , , and . CoRR, (2023)On the Robustness and Anomaly Detection of Sparse Neural Networks., , , , , and . CoRR, (2022)Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning., , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 3214-3241. PMLR, (2023)Revisiting Robustness in Graph Machine Learning., , , and . ICLR, OpenReview.net, (2023)Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks., , , , and . NeurIPS, (2022)Explainable Graph Neural Networks Under Fire., , , , and . CoRR, (2024)On the Adversarial Robustness of Graph Contrastive Learning Methods., , , , , and . CoRR, (2023)Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions., , , , and . CoRR, (2021)Reliable Graph Neural Networks via Robust Aggregation., , and . NeurIPS, (2020)Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification., , , , and . NeurIPS, page 18033-18048. (2021)