Alessio Gravina

dynamic_graph_benchmark. The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS

TG-ODE. Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24

non-dissipative-propagation-CTDGs. Official reference implementation of our paper "Long Range Propagation on Continuous-Time Dynamic Graphs" accepted at ICML24 and "Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs" accepted at Temporal Graph Learning Workshop @ NeurIPS 2023

Anti-SymmetricDGN. Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks"; and "Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks"

NumGraph. Synthetic graph generator

CTDG-learning-framework. Deep learning framework for Continuous-Time Dynamic Graphs. The framework allows to run robust model selection and assessment.

SWAN. Official reference implementation of our paper "On Oversquashing in Graph Neural Networks Through The Lens of Dynamical Systems" accepted at AAAI 2025

SONAR. Official code repository for "SONAR: Long-Range Graph Propagation Through Information Waves" accepted at NeurIPS 2025

covid19-drug-repurposing-with-DGNs. Official code repository for " Deep Graph Networks for Drug Repurposing with Multi-Protein Targets".

ML4BPD. Use some Machine Learning models to predict Bronchopulmonary dysplasia(BPD) in premature infants.

image-segmentation. Image segmentation with K-means and Ncut algorithm