DiffWire: Inductive Graph Rewiring via the Lovász Bound. - Adrián Arnaiz-Rodríguez; Ahmed Begga; Francisco Escolano; Nuria Oliver (LoG, 2022)

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (CoRR, 2023)

HEX-GNN: Hierarchical EXpanders for Node Classification. - Ahmed Begga; Miguel Angel Lozano; Francisco Escolano (CAEPIA, 2024)

Syntax Savants-UA at IberLEF 2024: Leveraging FLAN-T5-XXL for Automatic 5W1H Identification in Texts. - Eduardo Grande; Ahmed Begga (IberLEF@SEPLN, 2024)

Community-Hop: Enhancing Node Classification Through Community Preference. - Ahmed Begga; Waqar Ali; Gabriel Niculescu; Francisco Escolano; Thilo Stadelmann; Marcello Pelillo (S+SSPR, 2024)

Entropy-Guided Graph Clustering via Rényi Optimization. - Ahmed Begga; Guglielmo Beretta; Sebastiano Vascon; Francisco Escolano; Miguel Angel Lozano; Marcello Pelillo (GbRPR, 2025)

Multi-Hop Pooling: Leveraging Transition Matrices for Hierarchical Graph Representation Learning. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano (IbPRIA, 2025)

Node Representation Diversity via Entropy Maximization in Graph Neural Networks. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano (IbPRIA, 2025)

Learnable Diffusion Distances for Link Prediction. - Ahmed Begga; Miguel Angel Lozano; Francisco Escolano (IEEE Access, 2025)

Node classification in the heterophilic regime via diffusion-jump GNNs. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano (Neural Networks, 2025)