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Emanuele Rossi
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Cited by
Year
Temporal Graph Networks for Deep Learning on Dynamic Graphs
E Rossi, B Chamberlain, F Frasca, D Eynard, F Monti, M Bronstein
ICML 2020 Workshop on Graph Representation Learning, 2020
7672020
SIGN: Scalable Inception Graph Neural Networks
E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti
ICML 2020 Workshop on Graph Representation Learning, 2020
437*2020
Grand: Graph neural diffusion
B Chamberlain, J Rowbottom, MI Gorinova, M Bronstein, S Webb, E Rossi
International Conference on Machine Learning (ICML 2021), 1407-1418, 2021
2972021
Graph Neural Networks for Link Prediction with Subgraph Sketching
BP Chamberlain, S Shirobokov, E Rossi, F Frasca, T Markovich, ...
International Conference on Learning Representations (ICLR) 2022, 2022
1122022
On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features
E Rossi, H Kenlay, MI Gorinova, BP Chamberlain, X Dong, M Bronstein
Learning on Graphs Conference (LoG) 2022, 2021
972021
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
S Huang, F Poursafaei, J Danovitch, M Fey, W Hu, E Rossi, J Leskovec, ...
NeurIPS 2023 Datasets and Benchmarks Track, 2023
782023
Edge Directionality Improves Learning on Heterophilic Graphs
E Rossi, B Charpentier, F Di Giovanni, F Frasca, S Günnemann, ...
Learning on Graphs Conference (LoG) 2023, 2023
572023
Tuning word2vec for large scale recommendation systems
BP Chamberlain, E Rossi, D Shiebler, S Sedhain, MM Bronstein
Proceedings of the 14th ACM Conference on Recommender Systems, 732-737, 2020
322020
ncRNA Classification with Graph Convolutional Networks
E Rossi, F Monti, M Bronstein, P Liò
KDD 2019 Workshop on Deep Learning on Graphs, 2019
202019
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
M Mutti, R De Santi, E Rossi, JF Calderon, M Bronstein, M Restelli
Proceedings of the AAAI Conference on Artificial Intelligence 2022, 2022
16*2022
Learning to Infer Structures of Network Games
E Rossi, F Monti, Y Leng, MM Bronstein, X Dong
International Conference on Machine Learning (ICML 2022), 2022
72022
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
D Malitesta, E Rossi, C Pomo, T Di Noia, FD Malliaros
Proceedings of the 33rd ACM International Conference on Information and …, 2024
5*2024
PLINDER: The protein-ligand interactions dataset and evaluation resource
J Durairaj, Y Adeshina, Z Cao, X Zhang, V Oleinikovas, T Duignan, ...
bioRxiv, 2024.07. 17.603955, 2024
42024
PINDER: The protein interaction dataset and evaluation resource
D Kovtun, M Akdel, A Goncearenco, G Zhou, G Holt, D Baugher, D Lin, ...
bioRxiv, 2024.07. 17.603980, 2024
22024
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
J Gastinger, S Huang, M Galkin, E Loghmani, A Parviz, F Poursafaei, ...
arXiv preprint arXiv:2406.09639, 2024
12024
Channel Balance Interpolation in the Lightning Network via Machine Learning
Vincent, E Rossi, V Singh
arXiv preprint arXiv:2405.12087, 2024
1*2024
Bayesian Binary Search
V Singh, M Khanzadeh, V Davis, H Rush, E Rossi, J Shrader, P Lio
arXiv preprint arXiv:2410.01771, 2024
2024
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
S Huang, F Poursafaei, R Rabbany, G Rabusseau, E Rossi
arXiv preprint arXiv:2407.12269, 2024
2024
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Articles 1–18