Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

11 Results

<<   <   Page 1 of 1   >>   >
Workshop
MolEval: An Evaluation Toolkit for Molecular Embeddings via LLMs
Shaghayegh Sadeghi · Ali Forooghi · Jianguo Lu · Alioune Ngom
Affinity Workshop
Towards Learning Activity Cliff-Aware Molecular Representations
César Miguel Valdez Córdova
Workshop
A Multi-View Mixture-of-Experts based on Language and Graphs for Molecular Properties Prediction
Victor Yukio Shirasuna · Eduardo Soares · Emilio Vital Brazil · Karen Fiorella Gutierrez · Renato Cerqueira · Seiji Takeda · Akihiro Kishimoto
Workshop
Scalable Multi-Task Transfer Learning for Molecular Property Prediction
Chanhui Lee · Dae-Woong Jeong · Sung Moon Ko · Sumin Lee · Hyunseung Kim · Soorin Yim · Sehui Han · Sungwoong Kim · Sungbin Lim
Workshop
Multi-task Extension of Geometrically Aligned Transfer Encoder
Sung Moon Ko · Sumin Lee · Dae-Woong Jeong · Hyunseung Kim · Chanhui Lee · Soorin Yim · Sehui Han
Workshop
Graph Multi-Similarity Learning for Molecular Property Prediction
Hao Xu · Zhengyang Zhou · Pengyu Hong
Workshop
Path Complex Neural Network for Molecular Property Prediction
Longlong Li · Xiang LIU · Guanghui Wang · Yu Guang Wang · Kelin Xia
Workshop
Decoding Chemical Predictions: Group Contribution Methods for XAI
Gabriel Cathoud · Vignesh Ram Somnath · Luis Macedo · Kjell Jorner
Workshop
Task Addition in Multi-Task Learning by Geometrical Alignment
Soorin Yim · Dae-Woong Jeong · Sung Moon Ko · Sumin Lee · Hyunseung Kim · Chanhui Lee · Sehui Han
Workshop
On the Effectiveness of Quantum Chemistry Pre-training for Pharmacological Property Prediction
Arun Raja · Hongtao Zhao · Christian Tyrchan · Eva Nittinger · Michael Bronstein · Charlotte Deane · Garrett Morris
Workshop
Self-supervised learning for crystal property prediction via denoising
Alexander New · Nam Q. Le · Michael Pekala · Christopher Stiles