KDD 21 paperlist

KDD2021 Accepted Paper List

Time Series

• Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting
• Forecasting Interaction Order on Temporal Graphs
• Quantifying Uncertainty in Deep Spatiotemporal Forecasting
• Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
• ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting
• TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction

• ELITE : Robust Deep Anomaly Detection with Meta Gradient
• Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
• Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization.
• Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

• Apriori Convolutions for Highly Efficient and Accurate Time Series Classification

• Fast and Accurate Partial Fourier Transform for Time Series Data
• Representation Learning of Multivariate Time Series using a Transformer Framework
• Statistical models coupling allows for complex local multivariate time series analysis
• Causal and Interpretable Rules for Time Series Analysis

Graph Neural Networks

• Coupled Graph ODE for Learning Interacting System Dynamics

Differential equations

• ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations

Dynamic systems

• Dynamic Hawkes Processes for Discovering Time-evolving Communities’ States behind Diffusion Processes