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Session 4D: Dealing with Spatio-temporal Data

First presentation

Chair: Gao Cong

Start: 2021-11-03 13:00

End: 2021-11-03 14:10

Second presentation

Chair: Ingo Frommholz

Start: 2021-11-04 01:00

End: 2021-11-04 02:10

Papers in this session

rgfp1588 HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data
afp1626 ETA Prediction with Graph Neural Networks in Google Maps
afp0195 Learning to Bundle Proactively for On-Demand Meal Delivery
rgfp1004 Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources
rgfp1846 Attention Based Dynamic Graph Learning Framework for Asset Pricing
rgfp0776 AdaRNN: Adaptive Learning and Forecasting of Time Series
rgfp1186 Self-supervised Representation Learning on Dynamic Graphs
rgfp0093 ECMA: An Efficient Convoy Mining Algorithm for Moving Objects
rgfp0586 Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction
afp1759 Beast: Scalable Exploratory Analytics on Spatio-temporal Data
rgfp2069 Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction
  • Papers highlighted in green indicate the paper is selected for a live spotlight presentation.
  • Papers highlighted in gold indicate the paper has been shortlisted for a best paper award (and will also be presented live).
This programme is indicative. Once registered, please refer to the session programme on Underline.