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ConveXplainer for Graph Neural Networks.

, , , and . BRACIS (2), volume 13654 of Lecture Notes in Computer Science, page 588-600. Springer, (2022)

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Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets., , , , , , and . CoRR, (2023)Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions., , and . ESANN, (2021)Distill n' Explain: explaining graph neural networks using simple surrogates., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 6199-6214. PMLR, (2023)Federated stochastic gradient Langevin dynamics., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1703-1712. AUAI Press, (2021)Bayesian Analysis of Bug-Fixing Time using Report Data., , , , , and . ESEM, page 57-68. ACM, (2022)Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition., , , and . CoRR, (2023)In-n-Out: Calibrating Graph Neural Networks for Link Prediction., , , and . CoRR, (2024)ConveXplainer for Graph Neural Networks., , , and . BRACIS (2), volume 13654 of Lecture Notes in Computer Science, page 588-600. Springer, (2022)Bayesian Multilateration., , , and . IEEE Signal Process. Lett., (2022)Thin and Deep Gaussian Processes., , , , , , , , and . CoRR, (2023)