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Gabriele Corso
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Principal Neighbourhood Aggregation for Graph Nets
G Corso, L Cavalleri, D Beaini, P Liò, P Veličković
Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
2952020
Directional Graph Networks
D Beaini, S Passaro, V Létourneau, WL Hamilton, G Corso, P Liò
International Conference on Machine Learning (ICML 2021), 2021
832021
3D Infomax improves GNNs for Molecular Property Prediction
H Stärk, D Beaini, G Corso, P Tossou, C Dallago, S Günnemann, P Liò
International Conference on Machine Learning (ICML 2022), 2022
412022
Torsional Diffusion for Molecular Conformer Generation
B Jing*, G Corso*, J Chang, R Barzilay, TS Jaakkola
Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
332022
Subspace Diffusion Generative Models
B Jing*, G Corso*, R Berlinghieri, T Jaakkola
European Conference on Computer Vision (ECCV 2022), 2022
202022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
G Corso, H Stärk, B Jing, R Barzilay, T Jaakkola
International Conference on Learning Representations (ICLR 2023), 2023
122023
Neural Distance Embeddings for Biological Sequences
G Corso, R Ying, M Pándy, P Veličković, J Leskovec, P Liò
Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
92021
Learning Graph Search Heuristics
M Pándy, R Ying, G Corso, P Velickovic, J Leskovec, P Liò
Learning on Graphs Conference (LoG 2022), 2022
32022
Graph Anisotropic Diffusion
AAA Elhag, G Corso, H Stärk, MM Bronstein
arXiv preprint arXiv:2205.00354, 2022
1*2022
The First Learning on Graphs Conference: Preface
B Rieck, R Pascanu, Y Du, H St, D Lim, CK Joshi, A Deac, I Duta, ...
Learning on Graphs Conference, i-xxiii, 2022
2022
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