Graphs and Relational Reasoning
Understanding connections that drive intelligence.
Graph technologies and relational reasoning empower AI systems to model, analyze, and infer from complex relationships between entities, not just isolated data points.
At Dot Square Lab, we apply advanced graph-based techniques to uncover hidden patterns, optimize systems, and enhance decision-making across dynamic, interconnected domains.
By modeling relationships explicitly, we enable smarter, more context-aware AI solutions that adapt to real-world complexity.
What we build with
Graph Neural Networks (GNNs)
Graph Neural Networks (GNNs)
Leverage deep learning architectures specifically designed to operate over graphs for powerful relational insights.
Knowledge Graph Construction
Knowledge Graph Construction
Create structured representations of knowledge from unstructured and semi-structured data.
Link Prediction and Recommendations
Link Prediction and Recommendations
Predict missing or future connections between entities to power recommendations, fraud detection, and social graph analysis.
Graph-Based Clustering and Community Detection
Graph-Based Clustering and Community Detection
Uncover natural groupings, communities, and structures within complex datasets.
Reasoning over Graphs
Reasoning over Graphs
Enable AI systems to perform logical inference, pathfinding, and optimization across interconnected nodes.
Graph Embedding Techniques
Graph Embedding Techniques
Transform graph structures into vector representations for downstream machine learning applications.
Applications
Fraud Detection and Risk Assessment
Fraud Detection and Risk Assessment
Detect suspicious patterns in transaction networks, communications, and supply chains.
Recommendation Engines
Recommendation Engines
Power product, content, or connection recommendations by analyzing user-item graphs and social graphs.
Supply Chain and Logistics Optimization
Supply Chain and Logistics Optimization
Map and optimize complex supply networks to improve efficiency and resilience.
Healthcare and Biomedical Research
Healthcare and Biomedical Research
Model relationships among genes, diseases, treatments, and patients for better diagnostics and drug discovery.
Knowledge Management and Enterprise Search
Knowledge Management and Enterprise Search
Build dynamic, interconnected knowledge bases that improve retrieval, navigation, and organizational memory.
Telecommunications and Network Analysis
Telecommunications and Network Analysis
Monitor, optimize, and secure large-scale communications and IT infrastructure.
