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this contains the research papers
MGGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment ...
extension education
The presentation reviews potential practical applications of the emerging field of Artificial Intell...
Remote Sensing (RS) and Geographic Information Systems (GIS) work together to provide valuable insig...
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
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adbms contents for undergraduate level.
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Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting
Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph
Demand Shift on Fully Shared Autonomous Transportation System
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Social-Media-Analysis-Twitter and platform like this are analysis is done
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Duke Intro to Data Visualization
Different Types of health research
Literature survey done in the field of Time series anomaly detection of past 5 years
Course material for data visulization
Predictive_Modelling_SCLC.
Vegetation phenology and phenological analysis quantify how plant canopies green up, peak, and senes...
EAA2024 Rome presentation in session #381 "Capacity Building for FAIR Data Sharing and Digital ...
This presentation is from our 1st-term final year design project defense on the topic “Lie Detecti...
![[20240626_LabSeminar_Huy]MGGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.pptx](https://slidepub.com/thumb/5629/269945629.jpg)
![[20240610_LabSeminar_Huy]CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting.pptx](https://slidepub.com/thumb/9494/269849494.jpg)
![[20240506_LabSeminar_Huy]Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting.pptx](https://slidepub.com/thumb/8826/267858826.jpg)
![[20240812_LabSeminar_Huy]Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph.pptx](https://slidepub.com/thumb/9555/271139555.jpg)
