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  1. 30. sij
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  2. 28. sij

    Thanks for inviting me! Another day of great discussions about ML and its interfaces with health and medicine

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  3. 27. sij
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    27. sij

    very cool keynote by , thanks! Learning Actionable Representations of Biomedical Data

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  5. 14. sij

    We are guest-editing special issue on Graph Embeddings and Deep Learning for Network Biology IEEE/ACM TCBB Call: Submit your finest work by July 30, 2020! Spread the word!

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    9. sij

    Fascinating talk conference by , who recently moved from (yay) and is a collaborator with and on the Neonatology Regionalization Network Analysis Project - see . Welcome to Boston Marinka!

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  7. 9. sij
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    9. sij

    The has become a top priority. So grateful for the opportunity to be part of it again & stoked about the speakers like , , , , , . I'm specifically happy to participate in the workshops & upgrade my R skills.

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  9. 6. sij
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    Excited to close out the year by sharing that our report and recs to the NIH Advisory Committee to the Director were accepted and recommended by the ACD to be acted on by the NIH! Report: Presentation by David Glazer: 1/4

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  11. 19. pro 2019.

    Excited about our new work accepted to as full paper with spotlight! TL;DR: We develop strategies for pre-training Graph Neural Networks and study their effectiveness on multiple datasets, GNN architectures, and diverse downstream tasks

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  12. 17. pro 2019.

    Nice work, ! Great to see how our Graphwave method can be used for predicting HIV inhibitors

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  13. 14. pro 2019.

    Such an exciting opportunity for community to intersect with health and medicine

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  14. proslijedio/la je Tweet
    13. pro 2019.

    Great presentation on Graph Neural Networks for Drug Discovery and Development by Marinka Zitnik at GRL workshop today.

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    13. pro 2019.

    Graph representation learning is the most popular workshop of the day at . Amazing how far the field has advanced. I did not imagine so many people would get into this when I started working on graph neural nets back in 2015 during an internship. Time flies...

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  16. 13. pro 2019.

    Looking forward to an exciting day: - 1:30pm: Pre-training graph neural nets - 2:45pm: The Open Graph Benchmark - 4:45pm: Graph neural nets for drug development @ West Exhb Hall A, w/ et al.

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    9. pro 2019.

    We looked into the NeurIPS 2019 data, to see if we could gain any interesting insights and inform discussion on future years. Here's our blog post on what we found out:

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  18. 9. pro 2019.

    Thank you! I am thrilled to be here and so excited about opportunities that lie ahead

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  19. 8. pro 2019.

    Regulatory lockdown of medical AI/ML: A nice discussion of locked versus adaptive algorithms in learning healthcare systems

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  20. proslijedio/la je Tweet
    3. pro 2019.

    How will we ensure that AI will have impact in medicine? What are the limitations & methodological, regulatory and institutional challenges. Low-hype, high content opportunity for a conversation w experts and problem stakeholders Abstracts due Dec. 20th:

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