Constructing a Knowledge Graph for the World's Largest Professional Network
Explore how LinkedIn builds and utilizes Knowledge Graphs to enhance user experience and power products through deep NLP, GNN models, and holistic optimization of social network data.
Thoughts and Practices of Apache HugeGraph in Open Source Graph Databases
Explore Apache HugeGraph's journey in open-source graph databases. Learn about its features, Apache Foundation integration, community operations, and strategies for efficiency and cost control in graph database systems.
Sublinear Algorithms in Social Networks via Core-Periphery Decomposition
Explore sublinear algorithms for large networks using core-periphery structure and degree distribution. Learn about accelerating tasks like node sampling and shortest path computations.
Analyzing Real-World Networks in Wolfram Language
Explore graph theory techniques to extract insights from network data, uncover influential nodes, hidden communities, and vulnerabilities in social and infrastructure networks.
Building Adaptive Multi-Agent AI Systems: From Theory to Implementation
Explore adaptive multi-agent AI systems through reinforcement learning, examining how agents navigate dynamic physical and social environments while developing cooperative strategies and decision-making capabilities.