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Spotlight
Wed 2:30 On the Optimal Memorization Power of ReLU Neural Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
Poster
Thu 2:30 Learning to Extend Molecular Scaffolds with Structural Motifs
Krzysztof Maziarz · Henry Jackson-Flux · Pashmina Cameron · Finton Sirockin · Nadine Schneider · Nikolaus Stiefl · Marwin Segler · Marc Brockschmidt
Poster
Wed 10:30 Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang · Aleksandar Botev · James Martens
Poster
Tue 10:30 You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien · Chao Pan · Jianhao Peng · Olgica Milenkovic
Poster
Wed 18:30 Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation
Yang Zhao · Hao Zhang
Workshop
Message passing all the way up
Petar Veličković
Poster
Mon 18:30 Automated Self-Supervised Learning for Graphs
Wei Jin · Xiaorui Liu · Xiangyu Zhao · Yao Ma · Neil Shah · Jiliang Tang
Poster
Thu 2:30 Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie · Xiang Fu · Octavian Ganea · Regina Barzilay · Tommi Jaakkola
Poster
Tue 2:30 Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Jonathan Godwin · Michael Schaarschmidt · Alexander Gaunt · Alvaro Sanchez Gonzalez · Yulia Rubanova · Petar Veličković · James Kirkpatrick · Peter Battaglia
Poster
Mon 2:30 Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver · Marc A Finzi · Samuel Stanton · Andrew Wilson
Workshop
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola
Workshop
Fri 7:35 EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola