Standout Papers

Geometric Deep Learning: Going beyond Euclidean data 2017 2026 2020 2023 1.5k
  1. Geometric Deep Learning: Going beyond Euclidean data (2017)
    Michael M. Bronstein, Joan Bruna et al. IEEE Signal Processing Magazine

Immediate Impact

12 by Nobel laureates 28 from Science/Nature 77 standout
Sub-graph 1 of 20

Citing Papers

Protein codes promote selective subcellular compartmentalization
2025 StandoutScience
Targeting protein–ligand neosurfaces with a generalizable deep learning tool
2025 StandoutNature
3 intermediate papers

Works of Arthur Szlam being referenced

Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
Regularization on Graphs with Function-adapted Diffusion Processes
2008
and 1 more

Author Peers

Author Last Decade Papers Cites
Arthur Szlam 1080 862 490 36 2.5k
Joan Bruna 1040 928 401 34 2.7k
Mauro Maggioni 678 643 410 68 2.9k
Boaz Nadler 719 723 481 69 3.9k
Sergei Vassilvitskii 1481 927 151 36 3.6k
Jonathan Masci 795 1122 410 18 2.4k
Emanuele Rodolà 570 1383 916 76 2.6k
S. V. N. Vishwanathan 1169 719 173 50 2.0k
Suvrit Sra 878 645 495 90 2.2k
Werner Stuetzle 1034 1097 1013 40 4.5k
Pascal Vincent 2171 1942 266 35 4.7k

All Works

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2026