R _ Neural _ Graph - dwisianto/dwisianto GitHub Wiki

• https://www.pyg.org/
• https://github.com/dglai/Graph-Neural-Networks-in-Life-Sciences

If you missed our Sunday [#kdd2022](https://www.linkedin.com/feed/hashtag/?keywords=kdd2022&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6965660632821989377) tutorial entitled "Graph Neural Networks in Life Sciences: Opportunities and Solutions", please check out our materials at this GitHub repo: https://lnkd.in/ewNcYMSc.

In this tutorial, we highlighted unique [#GNN](https://www.linkedin.com/feed/hashtag/?keywords=gnn&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6965660632821989377) research and applications in the realm of biology and health sciences (drug discovery, molecular design, protein engineering, knowledge graph construction and inferences). We also have 4 hands-on sessions with Jupyter notebooks and codes showcasing different levels of graph tasks (node, link, graph, bi-graph).

For my connections in grad school, our team at [Amazon Web Services (AWS)](https://www.linkedin.com/company/amazon-web-services/) ML Solutions Lab is also looking for multiple Applied Scientist Interns in the next summer. Please feel free to reach out if you're interested.

Thanks to [Amazon Science](https://www.linkedin.com/company/amazonscience/) coauthors of the tutorial: [Huzefa Rangwala](https://www.linkedin.com/in/ACoAAACGFIsB02c-cnOk3Nb4p05ZB9qxFcLjPAA), [Tatsuya Arai](https://www.linkedin.com/in/ACoAAADT1CYBrKdEBdyrMUrCLb-yMmCbXmJV78U), [Ryan Brand](https://www.linkedin.com/in/ACoAAAtqwMsBBYdgXVX3RaDIgYxO9pHoV8HSh-8), [Vassilis N. Ioannidis](https://www.linkedin.com/in/ACoAABf7POQBHkJ5L-wLdfUUB4BQ8j9af1ruBGE), [Mufei Li](https://www.linkedin.com/in/ACoAABO6Xl8BItACHdqxHPZ-49Pe8Ug6mhIl9pU), [Yohei Nakayama](https://www.linkedin.com/in/ACoAABqSz3MBrh8rnda-FcY6BihdAIqpkzVA-dE)