Marco Podda - RankMe

36 papers A* 1A 1B 5Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Addressing the Scarcity of Benchmarks for Graph XAI. CoRR Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella
2025	—	`conf`	An Empirical Investigation of Shortcuts in Graph Learning. GbRPR Domenico Tortorella, Michele Fontanesi, Alessio Micheli, Marco Podda
2025	J	`jnl`	Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks. Mach. Learn. Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella
2025	J	`jnl`	Efficient quantification on large-scale networks. Mach. Learn. Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella
2025	J	`jnl`	Graph Diffusion that can Insert and Delete. CoRR Matteo Ninniri, Marco Podda, Davide Bacciu
2025	—	`conf`	Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing. ICANN (5) Corrado Baccheschi, Alessandro Bondielli, Alessandro Lenci, Alessio Micheli, Lucia C. Passaro, Marco Podda, Domenico Tortorella
2025	J	`jnl`	Learning to quantify graph nodes. CoRR Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella
2025	J	`jnl`	Misinformation mitigation in online social networks using continual learning with graph neural networks. Online Soc. Networks Media Hichem Merini, Adil Imad Eddine Hosni, Kadda Beghdad Bey, Vincenzo Lomonaco, Marco Podda, Islam Baira
2025	J	`jnl`	Sensitivity analysis on protein-protein interaction networks through deep graph networks. BMC Bioinform. Alessandro Dipalma, Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda
2025	J	`jnl`	Towards Efficient Molecular Property Optimization with Graph Energy Based Models. CoRR Luca Miglior, Lorenzo Simone, Marco Podda, Davide Bacciu
2024	—	`conf`	Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity. DS (1) Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella
2024	—	`conf`	Classifier-Free Graph Diffusion for Molecular Property Targeting. ECML/PKDD (4) Matteo Ninniri, Marco Podda, Davide Bacciu
2024	J	`jnl`	Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. IEEE Trans. Emerg. Top. Comput. Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo
2024	—	`conf`	Explaining Graph Classifiers by Unsupervised Node Relevance Attribution. xAI (2) Michele Fontanesi, Alessio Micheli, Marco Podda
2024	—	`conf`	Exposing Inductive Biases of Deep Graph Networks through Explainable AI (Short paper). DC@AI*IA Michele Fontanesi, Alessio Micheli, Marco Podda
2024	—	`conf`	How Much Do DNA and Protein Deep Embeddings Preserve Biological Information? CMSB Matteo Tolloso, Silvia Giulia Galfrè, Arianna Pavone, Marco Podda, Alina Sîrbu, Corrado Priami
2024	—	`conf`	Relating Explanations with the Inductive Biases of Deep Graph Networks. AI*IA Michele Fontanesi, Alessio Micheli, Marco Podda
2024	B	`conf`	XAI and Bias of Deep Graph Networks. ESANN Michele Fontanesi, Alessio Micheli, Marco Podda
2023	J	`jnl`	Classifier-free graph diffusion for molecular property targeting. CoRR Matteo Ninniri, Marco Podda, Davide Bacciu
2023	J	`jnl`	Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs. Bioinform. Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda
2023	B	`conf`	Graph Representation Learning. ESANN Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
2021	—	`—`	Deep Learning on Graphs with Applications to the Life Sciences. Marco Podda
2021	J	`jnl`	GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. CoRR Marco Podda, Davide Bacciu
2021	B	`conf`	Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. IJCNN Davide Bacciu, Marco Podda
2020	A	`conf`	A Deep Generative Model for Fragment-Based Molecule Generation. AISTATS Marco Podda, Davide Bacciu, Alessio Micheli
2020	J	`jnl`	A Deep Generative Model for Fragment-Based Molecule Generation. CoRR Marco Podda, Davide Bacciu, Alessio Micheli
2020	A*	`conf`	A Fair Comparison of Graph Neural Networks for Graph Classification. ICLR Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
2020	J	`jnl`	A gentle introduction to deep learning for graphs. Neural Networks Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda
2020	B	`conf`	Biochemical Pathway Robustness Prediction with Graph Neural Networks. ESANN Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo
2020	—	`conf`	Classification of Biochemical Pathway Robustness with Neural Networks for Graphs. BIOSTEC (Selected Papers) Marco Podda, Pasquale Bove, Alessio Micheli, Paolo Milazzo
2020	J	`jnl`	Edge-based sequential graph generation with recurrent neural networks. CoRR Davide Bacciu, Alessio Micheli, Marco Podda
2020	J	`jnl`	Edge-based sequential graph generation with recurrent neural networks. Neurocomputing Davide Bacciu, Alessio Micheli, Marco Podda
2020	—	`conf`	Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks. BIOINFORMATICS Pasquale Bove, Alessio Micheli, Paolo Milazzo, Marco Podda
2019	J	`jnl`	A Fair Comparison of Graph Neural Networks for Graph Classification. CoRR Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
2019	J	`jnl`	A Gentle Introduction to Deep Learning for Graphs. CoRR Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda
2019	B	`conf`	Graph generation by sequential edge prediction. ESANN Davide Bacciu, Alessio Micheli, Marco Podda