Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Home
Profiles
Research units
Facilities
Federal Grants
Research output
Press/Media
Search by expertise, name or affiliation
Attention based dynamic graph neural network for asset pricing
Ajim Uddin
,
Xinyuan Tao
,
Dantong Yu
MT School of Management
Center for Big Data
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Attention based dynamic graph neural network for asset pricing'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Asset Pricing
100%
Attention-based
100%
Dynamic Graph Neural Network
100%
Dynamic Networks
33%
Network Structure
33%
Machine Learning Techniques
33%
Neural Network Model
33%
Graph Neural Network
33%
Highly Effective
33%
Two-state
33%
Sensitivity Test
33%
Asset Prices
33%
Portfolio Performance
33%
Equity Returns
33%
Equity Markets
33%
Co-movement
33%
Dynamic Network Structure
33%
Graph Attention Network
33%
Market Events
33%
Major Markets
33%
Market Information
33%
Recurrent Convolutional Neural Network
33%
Computer Science
Dynamic Network
100%
Graph Neural Network
100%
Network Structures
100%
Machine Learning Technique
50%
Neural Network Model
50%
Attention (Machine Learning)
50%
Convolutional Neural Network
50%
Simulated Data
50%
Sensitivity Analysis
50%