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13 Results

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Poster
Tue 10:30 Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Keir Adams · Lagnajit Pattanaik · Connor Coley
Poster
Tue 10:30 Differentiable Scaffolding Tree for Molecule Optimization
Tianfan Fu · Wenhao Gao · Cao Xiao · Jacob Yasonik · Connor Coley · Jimeng Sun
Poster
Mon 2:30 Spanning Tree-based Graph Generation for Molecules
Sungsoo Ahn · Binghong Chen · Tianzhe Wang · Le Song
Spotlight
Mon 2:30 Spanning Tree-based Graph Generation for Molecules
Sungsoo Ahn · Binghong Chen · Tianzhe Wang · Le Song
Poster
Mon 10:30 Chemical-Reaction-Aware Molecule Representation Learning
Hongwei Wang · Weijiang Li · Xiaomeng Jin · Kyunghyun Cho · Heng Ji · Jiawei Han · Martin Burke
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
Workshop
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola
Workshop
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu · Hanchen Wang · Weiyang Liu · Joan Lasenby · Hongyu Guo · Jian Tang
Workshop
Partial Product Aware Machine Learning on DNA-Encoded Libraries
Polina Binder · Meghan Lawler · LaShadric Grady · Neil Carlson · Svetlana Belyanskaya · Joe Franklin · Nicolas Tilmans · Henri Palacci
Workshop
Graph Anisotropic Diffusion for Molecules
Ahmed Elhag · Gabriele Corso · Hannes Stärk · Michael Bronstein
Workshop
Evaluating Generalization in GFlowNets for Molecule Design
Andrei Nica · Moksh Jain · Emmanuel Bengio · Cheng-Hao Liu · Maksym Korablyov · Michael Bronstein · Yoshua Bengio
Workshop
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola