Apr 2020: Drug Repurposing for COVID-19
We are excited to share our latest results on how networks and graph machine-learning help us search for a cure for COVID-19.
Mar 2020: AI Cures
We are joining AI Cures initiative at MIT! We will develop machine learning methods for finding promising antiviral molecules for COVID-19 and other emerging pathogens.
Mar 2020: COVID-19 Task Force
We are excited to be working with László Barabási and his amazing team of scientists as we search for a cure for COVID-19.
Mar 2020: Graph ML Workshop at ICML 2020
We will co-organize a workshop on Graph Representation Learning and Beyond at ICML 2020. Submit your finest work!
Mar 2020: Accepted Tutorial at IJCAI!
We will present a tutorial on Machine Learning for Drug Development at IJCAI 2020! Stay tuned for details.
Mar 2020: Welcome New Students!
Haoxin, Michelle, and Xiang joined the lab. Welcome! We look forward to seeing you all in the lab!
Feb 2020: Meta Learning for Single-cell Biology
A new preprint on meta learning for identifying and naming cell types, even cell types that have never been seen before and do not exist in the training data. Check it out!
Dec 2019: Pre-training Graph Neural Networks
Strategies for pre-training graph neural networks accepted as a spotlight paper at ICLR 2020.
Dec 2019: Deep Learning for Network Biology
Marinka is co-editing a special issue of ACM/IEEE TCBB on Deep learning and graph embeddings for network biology. Submit your finest work!
Dec 2019: Welcome New Students!
Kathleen, Jingyi, Kexin, Yujie, and Stone joined the lab. Welcome!