MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints

1 code implementation • 30 Jan 2024 • Mogan Gim, Jueon Park, Soyon Park, SangHoon Lee, Seungheun Baek, Junhyun Lee, Ngoc-Quang Nguyen, Jaewoo Kang

Molecular core structures and R-groups are essential concepts in drug development.

Contrastive Learning Molecular Property Prediction +1

KitchenScale: Learning to predict ingredient quantities from recipe contexts

no code implementations • 21 Apr 2023 • Donghee Choi, Mogan Gim, Samy Badreddine, Hajung Kim, Donghyeon Park, Jaewoo Kang

We introduce KitchenScale, a fine-tuned Pre-trained Language Model (PLM) that predicts a target ingredient's quantity and measurement unit given its recipe context.

Language Modelling Transfer Learning

RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer

1 code implementation • 14 Oct 2022 • Mogan Gim, Donghee Choi, Kana Maruyama, Jihun Choi, Hajung Kim, Donghyeon Park, Jaewoo Kang

To perform this task, we developed RecipeMind, a food affinity score prediction model that quantifies the suitability of adding an ingredient to set of other ingredients.