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Computer Science
Artificial Intelligence
Deep Learning
Graph Neural Networks
1. Foundations for Understanding GNNs
2. Core Concepts of Graph Neural Networks
3. Foundational GNN Architectures
4. Advanced GNN Architectures
5. GNN Training and Optimization
6. GNN Applications and Tasks
7. Evaluation and Benchmarking
8. Advanced Topics and Research Frontiers
9. Implementation and Practical Considerations
GNN Applications and Tasks
Node-level Tasks
Node Classification
Semi-supervised Node Classification
Multi-class Classification
Multi-label Classification
Imbalanced Node Classification
Node Regression
Continuous Value Prediction
Multi-output Regression
Node Clustering
Unsupervised Clustering
Deep Graph Clustering
Node Ranking
Importance Scoring
Influence Prediction
Edge-level Tasks
Link Prediction
Missing Link Prediction
Future Link Prediction
Negative Sampling Strategies
Evaluation Metrics
Edge Classification
Relationship Type Prediction
Edge Attribute Prediction
Edge Regression
Edge Weight Prediction
Continuous Edge Properties
Graph-level Tasks
Graph Classification
Molecular Property Prediction
Social Network Classification
Program Analysis
Graph Regression
Continuous Graph Properties
Multi-target Regression
Graph Matching
Graph Similarity
Isomorphism Detection
Graph Generation
Molecular Generation
Social Network Generation
Application Domains
Molecular and Chemical Informatics
Drug Discovery
Molecular Property Prediction
Reaction Prediction
Protein Structure Analysis
Social Network Analysis
Community Detection
Influence Maximization
Social Recommendation
Misinformation Detection
Knowledge Graphs
Entity Resolution
Relation Extraction
Knowledge Graph Completion
Question Answering
Computer Vision
Scene Graph Generation
Point Cloud Processing
Image Segmentation
Object Detection
Natural Language Processing
Syntactic Parsing
Semantic Role Labeling
Text Classification
Machine Translation
Recommendation Systems
Collaborative Filtering
Content-based Filtering
Session-based Recommendation
Social Recommendation
Financial Applications
Fraud Detection
Risk Assessment
Algorithmic Trading
Credit Scoring
Transportation and Logistics
Route Optimization
Traffic Prediction
Supply Chain Management
Urban Planning
Biological Networks
Protein-Protein Interactions
Gene Regulatory Networks
Disease Prediction
Drug-Target Interactions
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5. GNN Training and Optimization
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7. Evaluation and Benchmarking