Summary of Atgcn: a Graph Convolutional Network For Ataxic Gait Detection, by Karan Bania et al.
AtGCN: A Graph Convolutional Network For Ataxic Gait Detectionby Karan Bania, Tanmay VerlekarFirst submitted to…
Summary of Hypergraph-based Multi-scale Spatio-temporal Graph Convolution Network For Time-series Anomaly Detection, by Hongyi Xu
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detectionby Hongyi XuFirst submitted to arxiv…
Summary of Air Quality Prediction with Physics-informed Dual Neural Odes in Open Systems, by Jindong Tian et al.
Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systemsby Jindong Tian, Yuxuan Liang,…
Summary of Spatioformer: a Geo-encoded Transformer For Large-scale Plant Species Richness Prediction, by Yiqing Guo et al.
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Predictionby Yiqing Guo, Karel Mokany, Shaun…
Summary of Exploring How Deep Learning Decodes Anomalous Diffusion Via Grad-cam, by Jaeyong Bae et al.
Exploring how deep learning decodes anomalous diffusion via Grad-CAMby Jaeyong Bae, Yongjoo Baek, Hawoong JeongFirst…
Summary of Extracting Spatiotemporal Data From Gradients with Large Language Models, by Lele Zheng et al.
Extracting Spatiotemporal Data from Gradients with Large Language Modelsby Lele Zheng, Yang Cao, Renhe Jiang,…
Summary of Faststi: a Fast Conditional Pseudo Numerical Diffusion Model For Spatio-temporal Traffic Data Imputation, by Shaokang Cheng et al.
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputationby Shaokang Cheng,…
Summary of Leveraging Intra-period and Inter-period Features For Enhanced Passenger Flow Prediction Of Subway Stations, by Xiannan Huang et al.
Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stationsby Xiannan Huang,…
Summary of Plmtrajrec: a Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models, by Tonglong Wei et al.
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Modelsby Tonglong Wei, Yan…
Summary of Interpreting Temporal Graph Neural Networks with Koopman Theory, by Michele Guerra et al.
Interpreting Temporal Graph Neural Networks with Koopman Theoryby Michele Guerra, Simone Scardapane, Filippo Maria BianchiFirst…