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Workshop
All You Need is LOVE: Large Optimized Vector Embeddings Network for Drug Repurposing
Sina Akbarian · Sepehr Asgarian · Jouhyun Jeon
Workshop
VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak · Lisa Schneckenreiter · Sepp Hochreiter · Andreas Mayr · Günter Klambauer
Workshop
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov · Arne Schneuing · Marwin Segler · Michael Bronstein · Bruno Correia
Workshop
Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning
Youhan Lee · Hasun Yu · Jaemyung Lee · Jaehoon Kim
Workshop
Offline RL for generative design of protein binders
Denis Tarasov · Ulrich Armel Mbou Sob · Miguel Arbesú · Nima Siboni · Sebastien Boyer · Andries Smit · Oliver Bent · Arnu Pretorius · Marcin Skwark
Workshop
VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak · Lisa Schneckenreiter · Sepp Hochreiter · Andreas Mayr · Günter Klambauer
Workshop
FLIGHTED: Inferring Fitness Landscapes from Noisy High-Throughput Experimental Data
Vikram Sundar · Boqiang Tu · Lindsey Guan · Kevin Esvelt
Workshop
CongFu: Conditional Graph Fusion for Drug Synergy Prediction
Oleksii Tsepa · Bohdan Naida · Anna Goldenberg · Bo Wang
Workshop
Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
Ian Dunn · David Koes
Workshop
Fri 6:15 New Frontiers of AI for Drug Discovery and Development
Animashree Anandkumar · Ilija Bogunovic · Ti-chiun Chang · Quanquan Gu · Jure Leskovec · Michelle Li · Chong Liu · Nataša Tagasovska · Mengdi Wang · Wei Wang
Workshop
SALSA: Semantically-Aware Latent Space Autoencoder
Kathryn E. Kirchoff · Travis Maxfield · Alexander Tropsha · Shawn Gomez
Workshop
MolSiam: Simple Siamese Self-supervised Representation Learning for Small Molecules
Joshua Yao-Yu Lin