Domain-Specific Knowledge Integration Through Curriculum Learning Method in Machine Learning for Spectral AnalysisHajime ShinoharaAkihiro Kishimotoet al.2024MRS Fall Meeting 2024
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation ModelIndra Priyadarsini SVidushi Sharmaet al.2024ICML 2024
A Multi-View Mixture-of-Experts based on Language and Graphs for Molecular Properties PredictionVictor ShirasunaEduardo Almeida Soareset al.2024ICML 2024
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation ModelIndra Priyadarsini SVidushi Sharmaet al.2024arXiv
Advancing Molecular Property Prediction through Multi-view Latent Space FusionEduardo Almeida SoaresAkihiro Kishimotoet al.2024ACS Spring 2024
A Multi-View approach based on Graphs and Chemical Language Foundation Model for Molecular Properties PredictionEduardo Almeida SoaresAkihiro Kishimotoet al.2024AAAI 2024
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural NetworkAkihiro KishimotoHiroshi Kajinoet al.2023NeurIPS 2023
Pre-Treatment Methods for Machine Learning in Finer UV Spectrum InferenceHajime ShinoharaIndra Priyadarsini Set al.2023MRS Fall Meeting 2023
Multi-Modal Foundation Model for Material Discovery with Conversational User InterfaceSeiji TakedaAkihiro Kishimotoet al.2023MRS Fall Meeting 2023
Autoencoder based on Graph and Recurrent Neural Networks and Application to Property PredictionAkihiro KishimotoHiroshi Kajinoet al.2023MRS Fall Meeting 2023