Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems across the AI ecosystem3. Low-performance, most of ML/DL based AI systems are SLOW.Fixing these problems will pave the road to strong and effective AI. Graph databases, particularly high-performance graph database or graph computing, should allow this to happen.The Essential Criteria of Graph Databases simply broadens the horizon of graph applications. The book collects several truly innovative graph applications in asset-liability and liquidity risk management, which hopefully will spark readers’ interest in further broaden the reach and applicable domains of graph systems.
1. The Essential Criteria of Graph Databases - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iv 5. Copyright - p. Page v 6. List of Illustrations - p. Page vi 7. List of Tables - p. Page vii 8. Chapter 1 : History of graph computing and graph databases - p. Page vii 9. Chapter 2 : Graph database basics and principles - p. Page 32 10. Chapter 3 : Graph database architecture design - p. Page 99 11. Chapter 4 : Graph algorithms - p. Page 152 12. Chapter 5 : Scalable graphs - p. Page 221 13. Chapter 6 : A world empowered by graphs - p. Page 266 14. Chapter 7 : Planning, benchmarking and optimization of graph systems - p. Page 315 15. Index - p. Page 380
Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems across the AI ecosystem3. Low-performance, most of ML/DL based AI systems are SLOW.Fixing these problems will pave the road to strong and effective AI. Graph databases, particularly high-performance graph database or graph computing, should allow this to happen.The Essential Criteria of Graph Databases simply broadens the horizon of graph applications. The book collects several truly innovative graph applications in asset-liability and liquidity risk management, which hopefully will spark readers’ interest in further broaden the reach and applicable domains of graph systems.
1. The Essential Criteria of Graph Databases - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iv 5. Copyright - p. Page v 6. List of Illustrations - p. Page vi 7. List of Tables - p. Page vii 8. Chapter 1 : History of graph computing and graph databases - p. Page vii 9. Chapter 2 : Graph database basics and principles - p. Page 32 10. Chapter 3 : Graph database architecture design - p. Page 99 11. Chapter 4 : Graph algorithms - p. Page 152 12. Chapter 5 : Scalable graphs - p. Page 221 13. Chapter 6 : A world empowered by graphs - p. Page 266 14. Chapter 7 : Planning, benchmarking and optimization of graph systems - p. Page 315 15. Index - p. Page 380
