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11 Results

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Poster
Thu 8:45 Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
Jan Schuchardt · Yan Scholten · Stephan Günnemann
Poster
Thu 8:45 Learning to Group Auxiliary Datasets for Molecule
Tinglin Huang · Ziniu Hu · Rex Ying
Workshop
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening
Zhonglin Cao · Simone Sciabola · Ye Wang
Workshop
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
Seonghwan Seo · Woo Youn Kim
Workshop
Distributed Reinforcement Learning for Molecular Design: Antioxidant case
Huanyi Qin · Denis Akhiyarov · Kenneth Chiu · Mauricio Araya-Polo
Workshop
MolSiam: Simple Siamese Self-supervised Representation Learning for Small Molecules
Joshua Yao-Yu Lin
Workshop
Synthon Embeddings for Modeling DNA Encoded Libraries
Benson Chen · Mohammad Sultan · Theofanis Karaletsos
Workshop
MolSiam: Simple Siamese Self-supervised Representation Learning for Small Molecules
Joshua Yao-Yu Lin · Michael Maser · Nathan Frey · Gabriele Scalia · Omar Mahmood · Pedro O. Pinheiro · Ji Won Park · Stephen Ra · Andrew Watkins · Kyunghyun Cho
Poster
Wed 15:00 GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao · Shengchao Liu · Ma Chang · Hannan Xu · Jie Fu · Zhihong Deng · Lingpeng Kong · Qi Liu
Poster
Thu 8:45 DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
Bowen Gao · Bo Qiang · Haichuan Tan · Yinjun Jia · Minsi Ren · Minsi Lu · Jingjing Liu · Wei-Ying Ma · Yanyan Lan
Workshop
Searching for High-Value Molecules Using Reinforcement Learning and Transformers
Raj Ghugare · Santiago Miret · Adriana Hugessen · Mariano Phielipp · Glen Berseth