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Davide Bacciu

  1. A gentle introduction to deep learning for graphs
    2019/12/29 by Davide Bacciu, Federico Errica, Alessio Micheli +1 · 2 voices · 8 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Graph Theory and Algorithms #cs.LG #cs.SI #stat.ML
  2. A Fair Comparison of Graph Neural Networks for Graph Classification
    2019/12/20 by Federico Errica, Marco Podda, Errica, Federico +5 · 19 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  3. Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
    2022/10/18 by Alessio Gravina, Davide Bacciu, Gravina, Alessio +3 · 12 citations
    Computer Science · Physics and Astronomy · Materials Science · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Machine Learning in Materials Science
  4. On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
    2024/05/02 by Alessio Gravina, Gravina, Alessio, Moshe Eliasof +7 · 13 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Graph Theory and Algorithms
  5. Neural Algorithmic Reasoning for Combinatorial Optimisation
    2023/05/18 by Dobrik Georgiev, Georgiev, Dobrik, Danilo Numeroso +5 · 5 citations
    Computer Science · Decision Sciences · #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Rough Sets and Fuzzy Logic #Scheduling and Timetabling Solutions
  6. Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
    2024/05/27 by Simon Heilig, Heilig, Simon, Alessio Gravina +7 · 8 citations
    Computer Science · Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Millimeter-Wave Propagation and Modeling #Systems and Control (eess.SY) #Wireless Signal Modulation Classification #electronic engineering #information engineering
  7. Causal Abstraction with Soft Interventions
    2022/11/22 by Riccardo Massidda, Massidda, Riccardo, Atticus Geiger +5 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Gene Regulatory Network Analysis
  8. Continual Learning with Echo State Networks
    2021/05/17 by Andrea Cossu, Cossu, Andrea, Davide Bacciu +7 · 2 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing
  9. MEG: Generating Molecular Counterfactual Explanations for Deep Graph\n Networks
    2021/04/16 by Danilo Numeroso, Davide Bacciu, Numeroso, Danilo +1 · 2 citations
    Computer Science · Materials Science · #Computational Drug Discovery Methods #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  10. Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems
    2023/12/11 by Marco Lepri, Davide Bacciu, Lepri, Marco +3 · 3 citations
    Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Real-time simulation and control systems #Systems and Control (eess.SY) #electronic engineering #information engineering
  11. Memory Population in Continual Learning via Outlier Elimination
    2022/07/04 by Julio Hurtado, Alain Raymond-Sáez, Hurtado, Julio +9 · 2 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  12. Graph-based Polyphonic Multitrack Music Generation
    2023/07/27 by Emanuele Cosenza, Cosenza, Emanuele, Andrea Valenti +3 · 2 citations
    Computer Science · Neuroscience · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music Technology and Sound Studies #Music and Audio Processing #Neuroscience and Music Perception #Sound (cs.SD) #electronic engineering #information engineering
  13. Classifier-free graph diffusion for molecular property targeting
    2023/12/28 by Matteo Ninniri, Ninniri, Matteo, Marco Podda +3 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
  14. Explaining Deep Graph Networks with Molecular Counterfactuals
    2020/11/09 by Danilo Numeroso, Numeroso, Danilo, Davide Bacciu +1 · 1 citation
    Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Explainable Artificial Intelligence (XAI)
  15. Calibration of Continual Learning Models
    2024/04/11 by Lanpei Li, Li, Lanpei, Elia Piccoli +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  16. Learning Causal Abstractions of Linear Structural Causal Models
    2024/06/01 by Riccardo Massidda, Massidda, Riccardo, Sara Magliacane +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  17. Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
    2021/03/22 by Antonio Carta, Andrea Cossu, Carta, Antonio +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Graph Neural Networks
  18. Learning heuristics for A*
    2022/04/11 by Danilo Numeroso, Numeroso, Danilo, Davide Bacciu +3 · 1 citation
    Computer Science · #AI-based Problem Solving and Planning #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  19. Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning
    2023/03/28 by Antonio Carta, Andrea Cossu, Carta, Antonio +7 · 1 citation
    Computer Science · Engineering · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  20. Partial Hypernetworks for Continual Learning
    2023/06/19 by Hamed Hemati, Vincenzo Lomonaco, Hemati, Hamed +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  21. Deep Features for CBIR with Scarce Data using Hebbian Learning
    2022/05/18 by Gabriele Lagani, Lagani, Gabriele, Davide Bacciu +9 · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Image Retrieval and Classification Techniques #Neural Networks and Applications #Cell Image Analysis Techniques
  22. Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
    2025/06/09 by Ali Hariri, Hariri, Ali, Álvaro Arroyo +15 · 4 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Constraint-Free Structure Learning with Smooth Acyclic Orientations
    2023/09/15 by Riccardo Massidda, Francesco Landolfi, Massidda, Riccardo +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics
  24. Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
    2024/03/17 by Asma Sattar, Georgios Deligiorgis, Sattar, Asma +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Software Testing and Debugging Techniques
  25. Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders
    2020/01/15 by Andrea Valenti, Valenti, Andrea, Antonio Carta +3 · 1 citation
    Computer Science · #Music and Audio Processing #Generative Adversarial Networks and Image Synthesis #Music Technology and Sound Studies