Excited to share our work about pre-training graph neural networks for molecular property prediction. arxiv.org/abs/1905.12265. Joint work with Weihua Hu, Marinka Zitnik, Percy Liang, Vijay Pande, Jure Leskovec. I’ll be giving a talk about it at #ACSSanDiego and #SciMix in August.

Looking forward to an exciting #NeurIPS2019 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/ Jure Leskovec Weihua Hu Bowen Liu et al.

Open graph benchmark (OGB) initiative by Jure Leskovec Jure Leskovec seems a great source for researchers working on graph learning and graph neural networks. Graph representation learning workshop at #NeurIPS2019 #neurips19 pip install is also available. Thanks Jure!

A fantastic collaboration with Weihua Hu Marinka Zitnik Percy Liang Vijay Pande Jure Leskovec on pretraining graph neural networks Here is our GRL workshop talk about its applications for drug discovery and molecular property prediction: slideslive.com/38923994/outst…

Check out our spotlight poster "Strategies for Pre-training GNNs", joint work with Bowen Liu Marinka Zitnik Jure Leskovec Vijay Pande Percy Liang. #ICLR2020 Talk: iclr.cc/virtual/poster… Live QA on Thurs Sessions 1 and 5.

Super excited to share Open Graph Benchmark (OGB)! OGB provides large-scale, diverse graph datasets to catalyze graph ML research. The datasets are easily accessible via OGB Python package with unified evaluation protocols and public leaderboards. Paper: arxiv.org/abs/2005.00687

Excited to announce 2nd major release of Open Grpah Benchmark (OGB), a collection of realistic, large-scale, and diverse benchmark datasets for machine learning with graphs. ogb.stanford.edu arxiv.org/abs/2005.00687

Interested in ML for small molecule design and rethinking drug discovery? insitro has some new internship positions available in our molecular design team. insitro.bamboohr.com/jobs/view.php?…. Feel free to reach out if you have any questions!

We're thrilled to announce our $400M Series C financing, which will greatly enable us to continue advancing our vision to reshape the discovery and development of transformative medicines by leveraging #machinelearning and biology and chemistry at scale. bwnews.pr/3eL7G7v

Interested in ML for small molecule design and rethinking drug discovery? insitro has recently opened up 2022 internship positions in our molecular design team. jobs.lever.co/Insitro/f92cbf…. Please reach out if you have any questions!

Today, I'm excited to share some work our team has been doing over the last few years at insitro. It's a new tool for data science called redun. We describe the motivation and contributions in this post. github.com/insitro/redun/

Excited to share redun with data scientists everywhere. We hope redun will help democratize data science at scale, and support robust, reproducible science.

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Join our free virtual 1-week crash course on tactics for building startups in biotech. Application is <1 min! Open to all. We've had hundreds of people join us, and many have launched or joined really exciting companies. 👉 pillar.vc/frequency-bio/

Today, we are announcing Future House, a philanthropically-funded moonshot focused on building an AI Scientist. At Future House, our 10-year mission is to build semi-autonomous AIs for scientific research, to accelerate the pace of discovery and to provide world-wide access to

CELEBRATING 10 YEARS OF “THE HARD THING ABOUT HARD THINGS” BY benahorowitz.eth! “Hard Things” remains a go-to guide for entrepreneurs navigating startup life, with timeless wisdom that can only be learned on the battlefield of business. Some of our favorite quotes from the book: 1.

We thank our LPs and Entrepreneurs for having the faith to enable us to continue our journey. We appreciate you so much. a16z.com/new-funds-new-…

I had a great convo w/ Vijay Pande and Surya Ganguli on how AI is transforming the life sciences. This is an area that we're all extremely excited about, and it was fun to chat about topics ranging from foundation models in biology to opportunities for AI to improve drug design

We are excited to have Bowen Liu from a16z Bio + Health join us next Tuesday! Bowen has done foundational work in AI+bio at Stanford and Insitro and will share some insights from a VC perspective on what it takes to build revolutionary companies in this rapidly evolving space!

It’s been a tough few weeks. My 10yo daughter was diagnosed with a very rare, aggressive cancer called interdigitating dendritic cell sarcoma (IDCS). I’m reaching out to identify clinicians/patients who have encountered pediatric IDCS, indeterminate dendritic cell histiocytosis