Cover Image

Long Range Propagation on Continuous-Time Dynamic Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gravina, Alessio, Lovisotto, Giulio, Gallicchio, Claudio, Bacciu, Davide, Grohnfeldt, Claas
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
by: Poštuvan, Tim, et al.
Published: (2024)

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
by: Heilig, Simon, et al.
Published: (2024)

Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
by: Miglior, Luca, et al.
Published: (2025)

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
by: Gravina, Alessio, et al.
Published: (2024)

Non-Dissipative Graph Propagation for Non-Local Community Detection
by: Leeney, William, et al.
Published: (2025)

GRAMA: Adaptive Graph Autoregressive Moving Average Models
by: Eliasof, Moshe, et al.
Published: (2025)

SONAR: Long-Range Graph Propagation Through Information Waves
by: Trenta, Alessandro, et al.
Published: (2025)

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
by: Ceni, Andrea, et al.
Published: (2025)

Graph Hierarchical Recurrence for Long-Range Generalization
by: Carotti, Stefano, et al.
Published: (2026)

Deep learning for dynamic graphs: models and benchmarks
by: Gravina, Alessio, et al.
Published: (2023)

Temporal Graph ODEs for Irregularly-Sampled Time Series
by: Gravina, Alessio, et al.
Published: (2024)

Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
by: Hoang, Tai, et al.
Published: (2025)

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
by: Gravina, Alessio, et al.
Published: (2025)

Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
by: Hariri, Ali, et al.
Published: (2025)

Information propagation dynamics in Deep Graph Networks
by: Gravina, Alessio
Published: (2024)

Credal Graph Neural Networks
by: Tolloso, Matteo, et al.
Published: (2025)

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
by: Arroyo, Álvaro, et al.
Published: (2025)

Self-generated Replay Memories for Continual Neural Machine Translation
by: Resta, Michele, et al.
Published: (2024)

ContinualFlow: Learning and Unlearning with Neural Flow Matching
by: Simone, Lorenzo, et al.
Published: (2025)

Graph Diffusion that can Insert and Delete
by: Ninniri, Matteo, et al.
Published: (2025)

Adaptive Hyperparameter Optimization for Continual Learning Scenarios
by: Semola, Rudy, et al.
Published: (2024)

Towards Efficient Molecular Property Optimization with Graph Energy Based Models
by: Miglior, Luca, et al.
Published: (2025)

Ray-Tracing for Conditionally Activated Neural Networks
by: Gallicchio, Claudio, et al.
Published: (2025)

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024)

Calibration of Continual Learning Models
by: Li, Lanpei, et al.
Published: (2024)

Learning and Transferring Physical Models through Derivatives
by: Trenta, Alessandro, et al.
Published: (2025)

Learn to Jump: Adaptive Random Walks for Long-Range Propagation through Graph Hierarchies
by: Mathys, Joël, et al.
Published: (2025)

HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity
by: Bagagli, Matteo, et al.
Published: (2025)

Classifier-free graph diffusion for molecular property targeting
by: Ninniri, Matteo, et al.
Published: (2023)

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
by: Jiang, Jiawei, et al.
Published: (2023)

FAST: Similarity-based Knowledge Transfer for Efficient Policy Learning
by: Capurso, Alessandro, et al.
Published: (2025)

Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
by: Horuz, Coşku Can, et al.
Published: (2026)

Learning Causal Abstractions of Linear Structural Causal Models
by: Massidda, Riccardo, et al.
Published: (2024)

Random-Set Graph Neural Networks
by: Woodley, Tommy, et al.
Published: (2026)

I Know How: Combining Prior Policies to Solve New Tasks
by: Li, Malio, et al.
Published: (2024)

Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
by: Stoppani, Leonardo, et al.
Published: (2026)

How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences
by: Seleznova, Mariia
Published: (2026)

Residual Reservoir Memory Networks
by: Pinna, Matteo, et al.
Published: (2025)

Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks
by: Pinna, Matteo, et al.
Published: (2025)

Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
by: Telila, Yohannis, et al.
Published: (2025)