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Hu, Weihua

  1. How Powerful are Graph Neural Networks?
    2018/10/01 by Keyulu Xu, Xu, Keyulu, Weihua Hu +5 · 353 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. GraphCast: Learning skillful medium-range global weather forecasting
    2022/12/24 by Remi Lam, Rémi Lam, Alvaro Sanchez-Gonzalez +35 · 3 voices · 27 citations
    Computer Science · Environmental Science · Physics and Astronomy · #Advanced Graph Neural Networks #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #cs.LG #physics.ao-ph
  3. Open Graph Benchmark: Datasets for Machine Learning on Graphs
    2020/05/02 by Weihua Hu, Hu, Weihua, Matthias Fey +11 · 182 citations
    Computer Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Machine Learning in Healthcare
  4. Strategies for Pre-training Graph Neural Networks
    2019/05/29 by Weihua Hu, Hu, Weihua, Bowen Liu +11 · 92 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Topic Modeling #Machine Learning in Materials Science
  5. WILDS: A Benchmark of in-the-Wild Distribution Shifts
    2020/12/14 by Pang Wei Koh, Koh, Pang Wei, Shiori Sagawa +43 · 93 citations
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  6. Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
    2018/04/18 by Bo Han, Han, Bo, Quanming Yao +13 · 61 citations
    Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  7. OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
    2021/03/17 by Weihua Hu, Matthias Fey, Hu, Weihua +9 · 17 citations
    Computer Science · Materials Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  8. Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
    2020/02/14 by Ren, Hongyu, Hu, Weihua, Leskovec, Jure · 11 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Temporal Graph Benchmark for Machine Learning on Temporal Graphs
    2023/07/03 by Shenyang Huang, Farimah Poursafaei, Huang, Shenyang +17 · 17 citations
    Computer Science · Decision Sciences · Social Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Human Mobility and Location-Based Analysis
  10. Learning Discrete Representations via Information Maximizing Self-Augmented Training
    2017/02/28 by Hu, Weihua, Miyato, Takeru, Tokui, Seiya +2 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Learning from Complementary Labels
    2017/05/22 by Takashi Ishida, Gang Niu, Ishida, Takashi +5 · 6 citations
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  12. From Similarity to Superiority: Channel Clustering for Time Series Forecasting
    2024/03/31 by Jialin Chen, Jan Eric Lenssen, Chen, Jialin +13 · 11 citations
    Computer Science · #Time Series Analysis and Forecasting
  13. RelBench: A Benchmark for Deep Learning on Relational Databases
    2024/07/29 by Joshua Robinson, Rishabh Ranjan, Robinson, Joshua +21 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage
    2020/10/14 by C. Lawrence Zitnick, Lowik Chanussot, Zitnick, C. Lawrence +32 · 6 citations
    Energy · Engineering · Materials Science · #Computational Engineering #Electrocatalysts for Energy Conversion #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fuel Cells and Related Materials #Hybrid Renewable Energy Systems #I.2.6 #J.2 #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #and Science (cs.CE)
  15. Extending the WILDS Benchmark for Unsupervised Adaptation
    2021/12/09 by Sagawa, Shiori, Koh, Pang Wei, Lee, Tony +17 · 6 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
    2021/03/02 by Weihua Hu, Muhammed Shuaibi, Hu, Weihua +13 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
  17. Relational Deep Learning: Graph Representation Learning on Relational Databases
    2023/12/07 by Fey, Matthias, Hu, Weihua, Huang, Kexin +6 · 8 citations
    #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
    2024/03/31 by Weihua Hu, Hu, Weihua, Yiwen Yuan +14 · 4 citations
    Computer Science · Psychology · #Artificial Intelligence in Games #Databases (cs.DB) #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech and dialogue systems
  19. ContextGNN: Beyond Two-Tower Recommendation Systems
    2024/11/29 by Yiwen Yuan, Zecheng Zhang, Yuan, Yiwen +23 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques