Keyphrases
Traffic Prediction
100%
Multi-granularity
75%
Spatial Dependence
62%
Graph Convolutional Network
50%
Driver Profiling
50%
Channel Encoding
50%
Region-aware
50%
Ride-hailing Drivers
50%
Cross-city
50%
Spatial-temporal Graph Convolutional Network (ST-GCN)
50%
Dual-channel
50%
Frequency Features
50%
Spatial-temporal Dependencies
50%
City Traffic
50%
Graph Contrastive Learning
50%
Hierarchical Graph
50%
Feature Component
50%
Image Dehazing
50%
Spectral Features
37%
Spatial Correlation
25%
Temporal Convolutional Network
25%
Urban Traffic Data
25%
Transfer Learning Model
25%
Traffic Speed Prediction
25%
Spatial-temporal Graph
25%
Semantic Fusion
25%
Historical Data
25%
Prediction Framework
25%
Real Image
25%
Spatial Learning
25%
Multi-view Information
25%
Multiple Graphs
25%
Temporal Trends
25%
Performance Enhancement
25%
Traffic Mode
25%
Multi-view Data
25%
Temporal Dependence
25%
Challenging Issues
25%
Speed Prediction
25%
Different Granularity
25%
Deep Learning Methods
25%
Knowledge Transfer
25%
Temporal Learning
25%
Attention Fusion
25%
Learning Framework
21%
Transportation Network Companies
21%
Downstream Task
14%
Onboard Data
14%
GPS Trajectory
14%
Image Features
12%
Computer Science
Traffic Prediction
100%
Granularity
75%
Graph Convolutional Network
50%
Temporal Graph
50%
Frequency Feature
50%
Image Dehazing
50%
Graph Contrastive Learning
50%
Learning Framework
37%
Transportation Network
37%
Global Positioning System
37%
Spectral Feature
30%
Spatial Correlation
25%
Prediction Framework
25%
View Information
25%
Historical Data
25%
Graph Convolution
25%
Term Prediction
25%
Enhance Performance
25%
Single Prediction
25%
Transfer Learning
25%
Deep Learning Method
20%
Knowledge Transfer
16%
Contrastive Learning
12%
Graph Neural Network
12%
Trajectory Data
12%
User Experience
12%
Behavioral Pattern
12%
Regional Feature
12%
Advanced Driver Assistance Systems
12%
Sample Distribution
10%
Neural Network Architecture
10%
image feature
10%
Training Model
10%
Experimental Result
10%
Adverse Impact
10%
Private Memory
8%
Adversarial Machine Learning
8%
structure learning
8%
Invariant Domain
8%
Baseline Model
8%
Case Study
8%
