On the impact of sample size in reconstructing graph signals by Sripathmanathan, B, Dong, X, Bronstein, M

Understanding and extending subgraph GNNs by rethinking their symmetries by Frasca, F, Bevilacqua, B, Bronstein, M, Maron, H

DRew: dynamically rewired message passing with delay by Gutteridge, B, Dong, X, Bronstein, M, Di Giovanni, F

Graph signal processing for machine learning: a review and new perspectives by Dong, X, Thanou, D, Toni, L, Bronstein, M, Frossard, P

Neural sheaf diffusion: a topological perspective on heterophily and oversmoothing in GNNs by Bodnar, C, Di Giovanni, F, Chamberlain, BP, Liò, P, Bronstein, M

Understanding over-squashing and bottlenecks on graphs via curvature by Topping, J, Di Giovanni, F, Chamberlain, BP, Dong, X, Bronstein, M

On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features by Rossi, E, Kenlay, H, Gorinova, MI, Chamberlain, BP, Dong, X, Bronstein, M

Interaction data are identifiable even across long periods of time by Creţu, A-M, Monti, F, Marrone, S, Dong, X, Bronstein, M, de Montjoye, Y-A

Equivariant 3D-conditional diffusion model for molecular linker design by Igashov, I, Stärk, H, Vignac, C, Schneuing, A, Satorras, VG, Frossard, P, Welling, M, Bronstein, M, Correia, B

Structure-based drug design with equivariant diffusion models by Schneuing, A, Harris, C, Du, Y, Didi, K, Jamasb, A, Igashov, I, Du, W, Gomes, C, Blundell, TL, Lio, P, Welling, M, Bronstein, M, Correia, B

Genome-wide association identifies a common variant in the reelin gene that increases the risk of schizophrenia only in women. by Shifman, S, Johannesson, M, Bronstein, M, Chen, S, Collier, D, Craddock, N, Kendler, K, Li, T, O'Donovan, M, O'Neill, F, Owen, M, Walsh, D, Weinberger, DR, Sun, C, Flint, J, Darvasi, A

Toward understanding the communication in sperm whales by Andreas, J, Beguš, G, Bronstein, M, Diamant, R, Delaney, D, Gero, S, Goldwasser, S, Gruber, DF, de Haas, S, Malkin, P, Pavlov, N, Payne, R, Petri, G, Rus, D, Sharma, P, Tchernov, D, Tønnesen, P, Torralba, A, Vogt, D, Wood, RJ

De novo design of protein interactions with learned surface fingerprints by Gainza, P, Wehrle, S, Van Hall-Beauvais, A, Marchand, A, Scheck, A, Harteveld, Z, Buckley, S, Ni, D, Tan, S, Sverrisson, F, Goverde, C, Turelli, P, Raclot, C, Teslenko, A, Pacesa, M, Rosset, S, Georgeon, S, Marsden, J, Petruzzella, A, Liu, K, Xu, Z, Chai, Y, Han, P, Gao, GF, Oricchio, E, Fierz, B, Trono, D, Stahlberg, H, Bronstein, M, Correia, BE