Are Graph Convolutional Networks Fully Exploiting Graph Structure? - Davide Buffelli; Fabio Vandin (CoRR, 2020)

Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation. - Davide Buffelli; Fabio Vandin (CoRR, 2020)

A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings. - Davide Buffelli; Fabio Vandin (CoRR, 2020)

Extending Logic Explained Networks to Text Classification. - Rishabh Jain; Gabriele Ciravegna; Pietro Barbiero; Francesco Giannini; Davide Buffelli; Pietro Liò (EMNLP, 2022)

Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach. - Davide Buffelli; Fabio Vandin (IJCNN, 2022)

SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks. - Davide Buffelli; Pietro Lió; Fabio Vandin (NeurIPS, 2022)

Scalable Regularization of Scene Graph Generation Models using Symbolic Theories. - Davide Buffelli; Efthymia Tsamoura (CoRR, 2022)

The Impact of Global Structural Information in Graph Neural Networks Applications. - Davide Buffelli; Fabio Vandin (Data, 2022)

Scalable Theory-Driven Regularization of Scene Graph Generation Models. - Davide Buffelli; Efthymia Tsamoura (AAAI, 2023)

Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? - Davide Buffelli; Ashish Gupta; Agnieszka Strzalka; Vassilis Plachouras (CoRR, 2023)

CliquePH: Higher-Order Information for Graph Neural Networks Through Persistent Homology on Clique Graphs. - Davide Buffelli; Farzin Soleymani; Bastian Rieck (LoG, 2024)

Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization. - Davide Buffelli; Jamie McGowan; Wangkun Xu; Alexandru Cioba; Da-shan Shiu; Guillaume Hennequin; Alberto Bernacchia (NeurIPS, 2024)

Deep Equilibrium Algorithmic Reasoning. - Dobrik Georgiev; Joseph Wilson; Davide Buffelli; Pietro Lió (NeurIPS, 2024)

The Deep Equilibrium Algorithmic Reasoner. - Dobrik Georgiev; Pietro Liò; Davide Buffelli (CoRR, 2024)

Deep Equilibrium Algorithmic Reasoning. - Dobrik Georgiev; JJ Wilson; Davide Buffelli; Pietro Liò (CoRR, 2024)

Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity. - Chan-Jan Hsu; Davide Buffelli; Jamie McGowan; Feng-Ting Liao; Yi-Chang Chen; Sattar Vakili; Da-shan Shiu (CoRR, 2025)

Towards a Foundation Model for Communication Systems. - Davide Buffelli; Sowmen Das; Yu-Wei Lin; Sattar Vakili; Chien-Yi Wang; Masoud Attarifar; Pritthijit Nath; Da-shan Shiu (CoRR, 2025)