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May 2020:   Molecular Interaction Networks

A new preprint describing a graph neural network approach for the prediction of molecular interactions, including drug-drug, drug-target, protein-protein, and gene-disease interactions.

Apr 2020:   Submit to PhD Forum at ECML

The call for ECML-PKDD 2020 PhD Forum Track is now online. If you are a PhD student, submit your work on machine learning and knowledge discovery.

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

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!

Zitnik Lab  ·  Harvard  ·  Department of Biomedical Informatics