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Weihua Hu
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GraphCast: Learning skillful medium-range global weather forecasting


Dec 24, 2022
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter Battaglia

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* Main text: 21 pages, 8 figures, 1 table. Appendix: 15 pages, 5 figures, 2 tables 
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TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks


Oct 26, 2022
Weihua Hu, Kaidi Cao, Kexin Huang, Edward W Huang, Karthik Subbian, Jure Leskovec

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Learning Backward Compatible Embeddings


Jun 07, 2022
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec

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* KDD 2022, Applied Data Science Track 
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Extending the WILDS Benchmark for Unsupervised Adaptation


Dec 09, 2021
Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

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OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs


Mar 17, 2021
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec

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* KDD Cup 2021: https://ogb.stanford.edu/kddcup2021/ 
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ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations


Mar 02, 2021
Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick

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WILDS: A Benchmark of in-the-Wild Distribution Shifts


Dec 14, 2020
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

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The Open Catalyst 2020 (OC20) Dataset and Community Challenges


Oct 20, 2020
Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary Ulissi

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* 28 pages, 10 figures, submitted to ACS Catalysis 
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An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage


Oct 14, 2020
C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon Wood, Junwoong Yoon, Devi Parikh, Zachary Ulissi

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* 27 pages 
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Open Graph Benchmark: Datasets for Machine Learning on Graphs


May 02, 2020
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec

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