MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
- Akihiro Kishimoto
- Hiroshi Kajino
- et al.
- 2023
- NeurIPS 2023
Indra Priyadarsini S
Title
Research Scientist
Bio
Indra Priyadarsini joined IBM Research - Tokyo in January 2023.
She recieved her B.E in Electronics and Communication Engineering from PES Institute of Technology, Bangalore, India in 2016, and her M.E and Ph.D degree from Shizuoka University, Japan in 2019 and 2022, respectively.
Her research interests include optimization algorithms and deep learning.
Publications
Pre-Treatment Methods for Machine Learning in Finer UV Spectrum Inference
- 2023
- MRS Fall Meeting 2023
Multi-Modal Foundation Model for Material Discovery with Conversational User Interface
- Seiji Takeda
- Akihiro Kishimoto
- et al.
- 2023
- MRS Fall Meeting 2023
A transformer based large-scale molecular representation model
- Indra Priyadarsini S
- Seiji Takeda
- et al.
- 2023
- MRS Fall Meeting 2023
Autoencoder based on Graph and Recurrent Neural Networks and Application to Property Prediction
- Akihiro Kishimoto
- Hiroshi Kajino
- et al.
- 2023
- MRS Fall Meeting 2023
Top collaborators
LH
Lisa Hamada
Research Scientist
HS
Hajime Shinohara
TA of Research - Tokyo / Research Scientist / Happy Friday Staff
EA
Eduardo Soares
Research Scientist
EA
Emilio Vital Brazil
Senior Research Scientist - Manager AI-Assisted Decision Making