Errica, Federico

10 publications

ICML 2025 Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani

NeurIPS 2024 Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert

IJCAI 2024 History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt

ICLR 2024 Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica, Mathias Niepert

NeurIPS 2023 On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data Federico Errica

ICML 2022 The Infinite Contextual Graph Markov Model Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli

ICML 2021 Graph Mixture Density Networks Federico Errica, Davide Bacciu, Alessio Micheli

ICLR 2020 A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli

MLOSS 2020 Probabilistic Learning on Graphs via Contextual Architectures Davide Bacciu, Federico Errica, Alessio Micheli

ICML 2018 Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing Davide Bacciu, Federico Errica, Alessio Micheli