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Relational Learning and Network Modelling Using Infinite Latent Attribute Models

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Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?

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Infinite-degree-corrected stochastic block model

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Invariant Scattering Convolution Networks

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Cluster and Feature Modeling from Combinatorial Stochastic Processes

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Computational Capabilities of Graph Neural Networks

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The Graph Neural Network Model

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