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Extending Logic Explained Networks to Text Classification


Nov 04, 2022
Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Lio

* Accepted as short paper at the EMNLP 2022 conference 

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Scalable Regularization of Scene Graph Generation Models using Symbolic Theories


Sep 06, 2022
Davide Buffelli, Efthymia Tsamoura


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SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks


Jul 16, 2022
Davide Buffelli, Pietro Liò, Fabio Vandin


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Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach


Jan 10, 2022
Davide Buffelli, Fabio Vandin

* arXiv admin note: substantial text overlap with arXiv:2012.06755 

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A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings


Dec 12, 2020
Davide Buffelli, Fabio Vandin

* Accepted at the NeurIPS Workshop on Meta-Learning (MetaLearn) 2020 

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Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation


Jun 06, 2020
Davide Buffelli, Fabio Vandin


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Are Graph Convolutional Networks Fully Exploiting Graph Structure?


Jun 06, 2020
Davide Buffelli, Fabio Vandin


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