Federico Errica
Federico Errica
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Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Publications
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Paper accepted at ICLR 2024!!
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling
Paper accepted at JCP!!
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs
PyDGN accepted at JOSS!
Hidden Markov Models for Temporal Graph Representation Learning
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