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Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions

06/18/2023

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by Fang Li, et al.

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Graph representation learning (GRL) has emerged as a pivotal field that has contributed significantly to breakthroughs in various fields, including biomedicine. The objective of this survey is to review the latest advancements in GRL methods and their applications in the biomedical field. We also highlight key challenges currently faced by GRL and outline potential directions for future research.

Fang Li
17 publications
Yi Nian
5 publications
Zenan Sun
2 publications
Cui Tao
12 publications

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