Emanuele Rossi

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 25

Top Topics

Additional Features

Top Venues

Commun. Nonlinear Sci. Numer. Simul.

Publications

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR (2024)
Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros, Tommaso Di Noia
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. CoRR (2024)
Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs. CoRR (2024)
Vincent, Emanuele Rossi, Vikash Singh
Channel Balance Interpolation in the Lightning Network via Machine Learning. CoRR (2024)
Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire
Graph Neural Networks for Link Prediction with Subgraph Sketching. ICLR (2023)
Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. AAAI (2023)
Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni, Fabrizio Frasca, Stephan Günnemann, Michael M. Bronstein
Edge Directionality Improves Learning on Heterophilic Graphs. CoRR (2023)
Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni, Fabrizio Frasca, Stephan Günnemann, Michael M. Bronstein
Edge Directionality Improves Learning on Heterophilic Graphs. LoG (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS (2023)
Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
Learning to Infer Structures of Network Games. ICML (2022)
Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael Bronstein, Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. CoRR (2022)
Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein
On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features. LoG (2022)
Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
Learning to Infer Structures of Network Games. CoRR (2022)
Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Hammerla, Michael M. Bronstein, Max Hansmire
Graph Neural Networks for Link Prediction with Subgraph Sketching. CoRR (2022)
Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi
GRAND: Graph Neural Diffusion. ICML (2021)
Benjamin Paul Chamberlain, James Rowbottom, Maria I. Gorinova, Stefan Webb, Emanuele Rossi, Michael M. Bronstein
GRAND: Graph Neural Diffusion. CoRR (2021)
Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features. CoRR (2021)
Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, Michael M. Bronstein
Temporal Graph Networks for Deep Learning on Dynamic Graphs. CoRR (2020)
Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
Tuning Word2vec for Large Scale Recommendation Systems. CoRR (2020)
Danilo Durante, Emanuele Rossi, Andrea Colagrossi
Bifurcations and chaos transition of the flow over an airfoil at low Reynolds number varying the angle of attack. Commun. Nonlinear Sci. Numer. Simul. 89 (2020)
Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
Tuning Word2vec for Large Scale Recommendation Systems. RecSys (2020)
Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael M. Bronstein, Federico Monti
SIGN: Scalable Inception Graph Neural Networks. CoRR (2020)
Emanuele Rossi, Federico Monti, Michael M. Bronstein, Pietro Liò
ncRNA Classification with Graph Convolutional Networks. CoRR (2019)
Danilo Durante, Emanuele Rossi, Andrea Colagrossi, Giorgio Graziani
Numerical simulations of the transition from laminar to chaotic behaviour of the planar vortex flow past a circular cylinder. Commun. Nonlinear Sci. Numer. Simul. 48 (2017)
Emanuele Rossi, Andrea Colagrossi, Giorgio Graziani
Numerical simulation of 2D-vorticity dynamics using particle methods. Comput. Math. Appl. 69 (12) (2015)
Pericle Salvini, Giancarlo Teti, Enza Spadoni, Emiliano Frediani, Silvio Boccalatte, Luca Nocco, Barbara Mazzolai, Cecilia Laschi, Giovanni Comandé, Emanuele Rossi, Paolo Carrozza, Paolo Dario
An Investigation on Legal Regulations for Robot Deployment in Urban Areas: A Focus on Italian Law. Adv. Robotics 24 (13) (2010)