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DATR: DDI-Aware Therapeutic Structure Reconstruction for Safer Medication Recommendation

I2Mole: Interaction-aware Invariant Molecular Learning For Generalizable Property Prediction

IBGraphRAG: Enhancing Medical Knowledge Graph Retrieval Based on Semantic Consistency and Information Bottleneck

SymSpectra: Symmetric Information Bottleneck Framework for Molecular Structure Recognition under Imbalanced Settings

MSpecTmol: A Multi-Modal Spectroscopic Learning Framework for Molecular Structure Identification

Enhancing Graph Invariant Learning from a Negative Inference Perspective

Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation

Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck

ReNovo: Retrieval-Based De Novo Mass Spectrometry Peptide Sequencing

Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution

Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting

Capturing substructure interactions by invariant Information Bottle Theory for Generalizable Property Prediction

BenchMol: A Multi-Modality Benchmarking Platform for Molecular Representation Learning

BALSA: Benchmarking Active Learning Strategies for Autonomous laboratories

Overcoming Lookback Window Limitations: Exploring Longer Windows in Long-Term Time Series Forecasting