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Yihong Ma

2 accepted papers

2023

Graph-based Molecular Representation Learning

IJCAI 2023poster

Molecular representation learning (MRL) is a key step to build the connection between machine learning and chemical science. In particular, it encodes molecules as numerical vectors preserving the molecular structures and features, on top of which the downstream tasks (e.g., property prediction) can…

2022

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks

IJCAI 2022poster

Learning effective recipe representations is essential in food studies. Unlike what has been developed for image-based recipe retrieval or learning structural text embeddings, the combined effect of multi-modal information (i.e., recipe images, text, and relation data) receives less attention. In th…