Tag: KDD20

• Towards physics-informed deep learning for turbulent flow prediction (27 Mar 2021)
  
• Semantic Search in Millions of Equations (04 Jul 2020)
  
• Towards Automated Neural Interaction Discovering for Click-Through Rate Prediction (03 Jul 2020)
  
• Kernel Assisted Learning for Personalized Dose Finding (02 Jul 2020)
  
• Mining Persistent Activity in Continually Evolving Networks (01 Jul 2020)
  
• Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder (01 Jul 2020)
  
• Heidegger: Interpretable Temporal Causal Discovery (01 Jul 2020)
  
• A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks (30 Jun 2020)
  
• Deep State-Space Generative Model For Correlated Time-to-Event Predictions (29 Jun 2020)
  
• A Data Driven Graph Generative Model for Temporal Interaction Networks (28 Jun 2020)
  
• Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks (27 Jun 2020)
  
• List-wise Fairness Criterion for Point Processes (25 Jun 2020)
  
• A causal look at statistical definitions of discrimination (24 Jun 2020)