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20232026
most citedGRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks

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cs.AI2026

Autoregressive Models for Knowledge Graph Generation

Thiviyan Thanapalasingam, Antonis Vozikis, Peter Bloem +1

Knowledge Graph (KG) generation requires models to learn complex semantic dependencies between triples while maintaining domain validity constraints. Unlike link prediction, which…

cs.LG2026

Predicting integers from continuous parameters

Bas Maat, Peter Bloem

We study the problem of predicting numeric labels that are constrained to the integers or to a subrange of the integers. For example, the number of up-votes on social media posts,…