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Advanced Graph Neural Networks

Advanced Graph Neural Networks

169 faculty research Advanced Graph Neural Networks on GradNova.

S
Database Management Systems
Distributed Data Processing Systems
Graph Data Management Systems
Graph Theory and Algorithms
+4
A
Advanced Graph Neural Networks
Computational Drug Discovery Methods
Glaucoma and Retinal Disorders
Machine Learning in Materials Science
+1
L
Advanced Graph Neural Networks
Bayesian Modeling and Causal Inference
Embodied and Extended Cognition
Reinforcement Learning in Robotics
+1
K
Computational Learning for Reasoning
Machine Learning on Graphs
Sparse and Compressive Sensing Techniques
Complex Network Analysis Techniques
+3
A
Aidong Zhang

Thomas M. Linville Professor, Computer Science, Biomedical Engineering, and Data Science

Computer Science

University of Virginia

Concept-Based Learning
Generative AI
Interpretable and Fair Learning
Machine Learning
+6
A
Data Management Systems
Knowledge Graphs
Large-Scale Graph Algorithms
LLM Applications
+7
S
Graph Representation Learning
Graph-Native AI
Human-Centered, Trustworthy and Explainable AI
Advanced Graph Neural Networks
+4
R
Ruishan Liu

WiSE Gabilan Assistant Professor of Computer Science and Quantitative and Computational Biology

Computer Science

University of Southern California

Advanced Graph Neural Networks
Bioinformatics and Genomic Networks
Explainable Artificial Intelligence (xai)
Ferroptosis and Cancer Prognosis
+1
A
Augmented Personalized Health
Data Mining
Deep Learning
Knowledge Graphs
+9
G
Gonzalo Mateos

Professor of Electrical and Computer Engineering; Professor of Computer Science; Asaro Biggar Family Fellow in Data Science; Associate Director, Goergen Institute for Data Science and Artificial Intelligence

Department of Electrical and Computer Engineering

University of Rochester

Computer Networks
Decentralized Optimization
Graph Signal Processing
Machine Learning
+6
M
Marco Alvarez

Associate Professor | Director of Undergraduate Studies

Computer Science

University of Rhode Island

Computer Science
Software Engineering Research
Advanced Graph Neural Networks
Identification and Quantification in Food
+2
A
Alejandro Ribeiro

Professor Solomon and Sylvia G. Charp Professor of Electrical and Systems Engineering Electrical and Systems Engineering Primary Computer and Information Science

Department of Electrical and Systems Engineering

University of Pennsylvania

Advanced Graph Neural Networks
Complex Network Analysis Techniques
Distributed Control Multi-Agent Systems
Sparse and Compressive Sensing Techniques
+1
R
High Performance Computing (hpc) Including Code Synthesis for Performance
Parallel Algorithm Design
Parallel Computing and Optimization Techniques
Graph Theory and Algorithms
+3
H
Data Mining
Machine Learning
Signal Processing
Speech Recognition and Synthesis
+4
W
Wei Song

Professor and Coordinator of Software Engineering

Computer Science

University of New Brunswick

Advanced Graph Neural Networks
Mobile Crowdsensing and Crowdsourcing
Reinforcement Learning in Robotics
R
Advanced Graph Neural Networks
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
+1
S
Advanced Graph Neural Networks
Caching and Content Delivery
Complex Network Analysis Techniques
Graph Theory and Algorithms
+1
Z
Advanced Graph Neural Networks
Natural Language Processing Techniques
Recommender Systems and Techniques
Software-Defined Networks and 5G
+1
X
Distributed and Parallel Computing
Graph Databases
Advanced Graph Neural Networks
Graph Theory and Algorithms
+3
A
Advanced Graph Neural Networks
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (xai)
S
Advanced Graph Neural Networks
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Recommender Systems and Techniques
+1
S
Advanced Graph Neural Networks
AI-Based Problem Solving and Planning
Intelligent Tutoring Systems and Adaptive Learning
Teaching and Learning Programming
+1
S
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Explainable Artificial Intelligence (xai)
Graph Theory and Algorithms
+1
J
Machine Learning
Advanced Graph Neural Networks
Time Series Analysis and Forecasting
Complex Network Analysis Techniques
+2
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