Emanuele Rossi

38 papers A* 6A 2C 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Training-Free Graph-Based Imputation of Missing Modalities in Multimodal Recommendation. IEEE Trans. Knowl. Data Eng. Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros
2026	J	`jnl`	Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation. CoRR Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros
2025	J	`jnl`	Bayesian Binary Search. Algorithms Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader, Pietro Lio'
2025	C	`conf`	Channel Balance Interpolation in the Lightning Network via Machine Learning. ICBC Vincent Davis, Vikash Singh, Emanuele Rossi
2025	J	`jnl`	Deep Learning on Real-World Graphs. CoRR Emanuele Rossi
2025	J	`jnl`	Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models. CoRR Davide Marincione, Donato Crisostomi, Roberto Dessì, Emanuele Rodolà, Emanuele Rossi
2024	J	`jnl`	Bayesian Binary Search. CoRR Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader, Pietro Lio
2024	J	`jnl`	Channel Balance Interpolation in the Lightning Network via Machine Learning. CoRR Vincent, Emanuele Rossi, Vikash Singh
2024	J	`jnl`	Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. CoRR Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros, Tommaso Di Noia
2024	A	`conf`	Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? CIKM Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros
2024	J	`jnl`	Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? CoRR Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros
2024	A*	`conf`	TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. NeurIPS Julia Gastinger, Shenyang Huang, Michael Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
2024	J	`jnl`	TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
2024	—	`conf`	UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs. LoG Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
2024	J	`jnl`	UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs. CoRR Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
2023	—	`conf`	Edge Directionality Improves Learning on Heterophilic Graphs. LoG Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni, Fabrizio Frasca, Stephan Günnemann, Michael M. Bronstein
2023	J	`jnl`	Edge Directionality Improves Learning on Heterophilic Graphs. CoRR Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni, Fabrizio Frasca, Stephan Günnemann, Michael M. Bronstein
2023	A*	`conf`	Graph Neural Networks for Link Prediction with Subgraph Sketching. ICLR Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire
2023	A*	`conf`	Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. AAAI Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli
2023	A*	`conf`	Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2023	J	`jnl`	Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2022	J	`jnl`	Graph Neural Networks for Link Prediction with Subgraph Sketching. CoRR Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Hammerla, Michael M. Bronstein, Max Hansmire
2022	A*	`conf`	Learning to Infer Structures of Network Games. ICML Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
2022	J	`jnl`	Learning to Infer Structures of Network Games. CoRR Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
2022	—	`conf`	On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features. LoG Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein
2022	J	`jnl`	Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. CoRR Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli
2021	A*	`conf`	GRAND: Graph Neural Diffusion. ICML Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi
2021	J	`jnl`	GRAND: Graph Neural Diffusion. CoRR Benjamin Paul Chamberlain, James Rowbottom, Maria I. Gorinova, Stefan Webb, Emanuele Rossi, Michael M. Bronstein
2021	J	`jnl`	On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features. CoRR Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein
2020	J	`jnl`	Bifurcations and chaos transition of the flow over an airfoil at low Reynolds number varying the angle of attack. Commun. Nonlinear Sci. Numer. Simul. Danilo Durante, Emanuele Rossi, Andrea Colagrossi
2020	J	`jnl`	SIGN: Scalable Inception Graph Neural Networks. CoRR Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael M. Bronstein, Federico Monti
2020	J	`jnl`	Temporal Graph Networks for Deep Learning on Dynamic Graphs. CoRR Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, Michael M. Bronstein
2020	A	`conf`	Tuning Word2vec for Large Scale Recommendation Systems. RecSys Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
2020	J	`jnl`	Tuning Word2vec for Large Scale Recommendation Systems. CoRR Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
2019	J	`jnl`	ncRNA Classification with Graph Convolutional Networks. CoRR Emanuele Rossi, Federico Monti, Michael M. Bronstein, Pietro Liò
2017	J	`jnl`	Numerical simulations of the transition from laminar to chaotic behaviour of the planar vortex flow past a circular cylinder. Commun. Nonlinear Sci. Numer. Simul. Danilo Durante, Emanuele Rossi, Andrea Colagrossi, Giorgio Graziani
2015	J	`jnl`	Numerical simulation of 2D-vorticity dynamics using particle methods. Comput. Math. Appl. Emanuele Rossi, Andrea Colagrossi, Giorgio Graziani
2010	J	`jnl`	An Investigation on Legal Regulations for Robot Deployment in Urban Areas: A Focus on Italian Law. Adv. Robotics Pericle Salvini, Giancarlo Teti, Enza Spadoni, Emiliano Frediani, Silvio Boccalatte, Luca Nocco, Barbara Mazzolai, Cecilia Laschi, Giovanni Comandè, Emanuele Rossi, Paolo Carrozza, Paolo Dario