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affected and fostered method development in soil resource assessment and automated soil mapping. Apa...
A large proportion of dementia risk is attributable to modifiable factors such as physical inactivit...
Rainfall as an environmental feat can change fast and yield significant influence in downstream hydr...
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Predict...
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for...
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Puzhakkal_River_Water_Quality_Study Puzhakkal_River_Water_Quality_Study Puzhakkal_River_Water_Qualit...
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspec...
Improving Graph Networks through Selection-based Convolution
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multiface...
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction
Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobi...
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
Introduction and comparison to CAM, Grad-CAM, Guided back propagation and Guided Grad-CAM
It is a presentation for the concept of deep lap which is machine learning and artificial intelligen...
This presentation explores the pivotal role of Nuclear Magnetic Resonance (NMR) spectroscopy in pred...
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention