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Advanced Graph Neural Networks

Advanced Graph Neural Networks

83 faculty research Advanced Graph Neural Networks on GradNova.

Y
Liquid Crystal Research Advancements
Nonlinear Optical Materials Research
Photochromic and Fluorescence Chemistry
Photonic Crystals and Applications
+6
D
Graph Neural Networks
Large Language Models
Polarization in Online Communities
Retrieval-Augmented Generation
+5
X
Computational Social Science
Information Retrieval/recommendation
Metadata
Natural Language Processing
+4
X
Data Mining
Machine Learning
Complex Network Analysis Techniques
Advanced Graph Neural Networks
+3
Y
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Game Theory and Applications
Geographic Information Systems Studies
+1
M
Advanced Graph Neural Networks
Gaussian Processes and Bayesian Inference
Plant Pathogens and Fungal Diseases
Smart Agriculture and AI
+1
Y
Advanced Graph Neural Networks
Domain Adaptation and Few-Shot Learning
Metaheuristic Optimization Algorithms Research
Neural Networks and Applications
+1
D
Advanced Algorithms and Applications
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Imbalanced Data Classification Techniques
+1
C
Advanced Graph Neural Networks
Graph Theory and Algorithms
Imbalanced Data Classification Techniques
S
Advanced Database Systems and Queries
Advanced Graph Neural Networks
Cloud Computing and Resource Management
Data Management and Algorithms
+1
L
Advanced Graph Neural Networks
Explainable Artificial Intelligence (xai)
Hate Speech and Cyberbullying Detection
Natural Language Processing Techniques
+1
A
Database and Knowledge-Base Systems
Formal Languages and Their Application to Databases
Graph Theory
Topic Modeling
+4
S
Explainable AI (xai)
Graph Neural Networks (gnns) and Graph Representation Learning
Large Language Models (llms) Toward Artificial General Intelligence (agi)
Reinforcement Learning (rl) for Reasoning
+5
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
Machine Learning
Physical/iot-Cyber-Social-Clinical Big Data
Semantic Web
+5
G
Gonzalo Mateos

Professor of Electrical and Computer Engineering Professor of Computer Science

Computer Science

University of Rochester

Computer Networks
Decentralized Optimization
Graph Signal Processing
Machine Learning
+6
A
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
T
Interdisciplinary Scientific Challenges: Bioengineering, Quantum Computing
Machine Learning Problems: Sparsity, Robustness, Learning to Optimize, Graph Learning, Diffusion Models
Biomedical Text Mining and Ontologies
Domain Adaptation and Few-Shot Learning
+3
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
S
Advanced Graph Neural Networks
Caching and Content Delivery
Complex Network Analysis Techniques
Graph Theory and Algorithms
+1
Z
Advanced Graph Neural Networks
Machine Learning and Data Classification
Natural Language Processing Techniques
Recommender Systems and Techniques
+1
X
Distributed and Parallel Computing
Graph Databases
Advanced Graph Neural Networks
Graph Theory and Algorithms
+3
2

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