Saved in:
| Main Authors: | Trenta, Alessandro, Cossu, Andrea, Bacciu, Davide |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.01391 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiSTOP: Solving Functional Equations with Reinforcement Learning
by: Trenta, Alessandro, et al.
Published: (2024)
by: Trenta, Alessandro, et al.
Published: (2024)
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
by: Heilig, Simon, et al.
Published: (2024)
by: Heilig, Simon, et al.
Published: (2024)
Calibration of Continual Learning Models
by: Li, Lanpei, et al.
Published: (2024)
by: Li, Lanpei, et al.
Published: (2024)
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
by: Hoang, Tai, et al.
Published: (2025)
by: Hoang, Tai, et al.
Published: (2025)
FAST: Similarity-based Knowledge Transfer for Efficient Policy Learning
by: Capurso, Alessandro, et al.
Published: (2025)
by: Capurso, Alessandro, et al.
Published: (2025)
SONAR: Long-Range Graph Propagation Through Information Waves
by: Trenta, Alessandro, et al.
Published: (2025)
by: Trenta, Alessandro, et al.
Published: (2025)
Learning Causal Abstractions of Linear Structural Causal Models
by: Massidda, Riccardo, et al.
Published: (2024)
by: Massidda, Riccardo, et al.
Published: (2024)
Credal Graph Neural Networks
by: Tolloso, Matteo, et al.
Published: (2025)
by: Tolloso, Matteo, et al.
Published: (2025)
A Practical Guide to Streaming Continual Learning
by: Cossu, Andrea, et al.
Published: (2026)
by: Cossu, Andrea, et al.
Published: (2026)
ContinualFlow: Learning and Unlearning with Neural Flow Matching
by: Simone, Lorenzo, et al.
Published: (2025)
by: Simone, Lorenzo, et al.
Published: (2025)
Deep learning for dynamic graphs: models and benchmarks
by: Gravina, Alessio, et al.
Published: (2023)
by: Gravina, Alessio, et al.
Published: (2023)
Self-generated Replay Memories for Continual Neural Machine Translation
by: Resta, Michele, et al.
Published: (2024)
by: Resta, Michele, et al.
Published: (2024)
Adaptive Hyperparameter Optimization for Continual Learning Scenarios
by: Semola, Rudy, et al.
Published: (2024)
by: Semola, Rudy, et al.
Published: (2024)
Task-Agnostic Experts Composition for Continual Learning
by: Quarantiello, Luigi, et al.
Published: (2025)
by: Quarantiello, Luigi, et al.
Published: (2025)
Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
by: Stoppani, Leonardo, et al.
Published: (2026)
by: Stoppani, Leonardo, et al.
Published: (2026)
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
by: Ceni, Andrea, et al.
Published: (2025)
by: Ceni, Andrea, et al.
Published: (2025)
HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity
by: Bagagli, Matteo, et al.
Published: (2025)
by: Bagagli, Matteo, et al.
Published: (2025)
Classifier-free graph diffusion for molecular property targeting
by: Ninniri, Matteo, et al.
Published: (2023)
by: Ninniri, Matteo, et al.
Published: (2023)
Towards Efficient Molecular Property Optimization with Graph Energy Based Models
by: Miglior, Luca, et al.
Published: (2025)
by: Miglior, Luca, et al.
Published: (2025)
Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning
by: Piccoli, Elia, et al.
Published: (2025)
by: Piccoli, Elia, et al.
Published: (2025)
Graph Diffusion that can Insert and Delete
by: Ninniri, Matteo, et al.
Published: (2025)
by: Ninniri, Matteo, et al.
Published: (2025)
GRAMA: Adaptive Graph Autoregressive Moving Average Models
by: Eliasof, Moshe, et al.
Published: (2025)
by: Eliasof, Moshe, et al.
Published: (2025)
Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
by: Miglior, Luca, et al.
Published: (2025)
by: Miglior, Luca, et al.
Published: (2025)
Temporal Graph ODEs for Irregularly-Sampled Time Series
by: Gravina, Alessio, et al.
Published: (2024)
by: Gravina, Alessio, et al.
Published: (2024)
I Know How: Combining Prior Policies to Solve New Tasks
by: Li, Malio, et al.
Published: (2024)
by: Li, Malio, et al.
Published: (2024)
Non-Dissipative Graph Propagation for Non-Local Community Detection
by: Leeney, William, et al.
Published: (2025)
by: Leeney, William, et al.
Published: (2025)
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
by: Pugnana, Andrea, et al.
Published: (2025)
by: Pugnana, Andrea, et al.
Published: (2025)
Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
by: Telila, Yohannis, et al.
Published: (2025)
by: Telila, Yohannis, et al.
Published: (2025)
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024)
by: Sattar, Asma, et al.
Published: (2024)
Neural Algorithmic Reasoning for Combinatorial Optimisation
by: Georgiev, Dobrik, et al.
Published: (2023)
by: Georgiev, Dobrik, et al.
Published: (2023)
Long Range Propagation on Continuous-Time Dynamic Graphs
by: Gravina, Alessio, et al.
Published: (2024)
by: Gravina, Alessio, et al.
Published: (2024)
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
by: Gravina, Alessio, et al.
Published: (2024)
by: Gravina, Alessio, et al.
Published: (2024)
Lifelong Evolution of Swarms
by: Leuzzi, Lorenzo, et al.
Published: (2025)
by: Leuzzi, Lorenzo, et al.
Published: (2025)
Random-Set Graph Neural Networks
by: Woodley, Tommy, et al.
Published: (2026)
by: Woodley, Tommy, et al.
Published: (2026)
Graph Hierarchical Recurrence for Long-Range Generalization
by: Carotti, Stefano, et al.
Published: (2026)
by: Carotti, Stefano, et al.
Published: (2026)
Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning
by: Licciardi, Alessandro, et al.
Published: (2025)
by: Licciardi, Alessandro, et al.
Published: (2025)
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning
by: Corsi, Davide, et al.
Published: (2024)
by: Corsi, Davide, et al.
Published: (2024)
CLA: Latent Alignment for Online Continual Self-Supervised Learning
by: Cignoni, Giacomo, et al.
Published: (2025)
by: Cignoni, Giacomo, et al.
Published: (2025)
Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
Renormalized Graph Representations for Node Classification
by: Caso, Francesco, et al.
Published: (2023)
by: Caso, Francesco, et al.
Published: (2023)
Similar Items
-
MultiSTOP: Solving Functional Equations with Reinforcement Learning
by: Trenta, Alessandro, et al.
Published: (2024) -
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
by: Heilig, Simon, et al.
Published: (2024) -
Calibration of Continual Learning Models
by: Li, Lanpei, et al.
Published: (2024) -
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
by: Hoang, Tai, et al.
Published: (2025) -
FAST: Similarity-based Knowledge Transfer for Efficient Policy Learning
by: Capurso, Alessandro, et al.
Published: (2025)