applications of graph

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Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
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LangGraph and LangChain Systems in Practice: Building Agentic AI Workflows, Tool-Using Agents, and Stateful LLM Applications: 1 (Modern Agentic AI Systems Series)
LangGraph and LangChain Systems in Practice: Building Agentic AI Workflows, Tool-Using Agents, and Stateful LLM Applications: 1 (Modern Agentic AI Systems Series)
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Exponential Random Graph Models for Social Networks – Theory, Methods, and Applications
Exponential Random Graph Models for Social Networks – Theory, Methods, and Applications
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Spatial Networks: A Complete Introduction: From Graph Theory and Statistical Physics to Real-World Applications
Spatial Networks: A Complete Introduction: From Graph Theory and Statistical Physics to Real-World Applications
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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications: 35 (Structural Analysis in the Social Sciences, Series Number 35)
Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications: 35 (Structural Analysis in the Social Sciences, Series Number 35)
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Graph Database Engineering with Neo4j: Designing, Querying, and Scaling Connected Data Systems for Intelligent Applications
Graph Database Engineering with Neo4j: Designing, Querying, and Scaling Connected Data Systems for Intelligent Applications
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Applications of Graph Transformations with Industrial Relevance: Second International Workshop, AGTIVE 2003, Charlottesville, VA, USA, September 27 - ... 1, 2003, Revised Selected and Invited Papers
Applications of Graph Transformations with Industrial Relevance: Second International Workshop, AGTIVE 2003, Charlottesville, VA, USA, September 27 - ... 1, 2003, Revised Selected and Invited Papers
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Graph Theory: Fundamentals, Applications and Games
Graph Theory: Fundamentals, Applications and Games
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Graph Theory and Its Applications – Textbooks in Mathematics
Graph Theory and Its Applications – Textbooks in Mathematics
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Graph Theory: An Introduction to Proofs, Algorithms, and Applications (Textbooks in Mathematics)
Graph Theory: An Introduction to Proofs, Algorithms, and Applications (Textbooks in Mathematics)
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Full-Stack React, TypeScript, and Node: Build cloud-ready web applications using React 17 with Hooks and GraphQL
Full-Stack React, TypeScript, and Node: Build cloud-ready web applications using React 17 with Hooks and GraphQL
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Neo4j for AI Engineers: Build Knowledge Graphs, Power RAG Systems, and Scale Intelligent Applications with Graph Databases
Neo4j for AI Engineers: Build Knowledge Graphs, Power RAG Systems, and Scale Intelligent Applications with Graph Databases
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The API Blueprint: Designing, Building, and Scaling GraphQL APIs for Modern Web and Mobile Applications
The API Blueprint: Designing, Building, and Scaling GraphQL APIs for Modern Web and Mobile Applications
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AI Agents and Applications with LangChain, LangGraph, and MCP: Advanced Techniques for Professional Developers in Agent Orchestration and Tool ... Developer’s Guide to Autonomous AI Agents)
AI Agents and Applications with LangChain, LangGraph, and MCP: Advanced Techniques for Professional Developers in Agent Orchestration and Tool ... Developer’s Guide to Autonomous AI Agents)
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JavaScript Everywhere – Building Cross-Platform Apps with GraphQL, React, React Native & Electron
JavaScript Everywhere – Building Cross-Platform Apps with GraphQL, React, React Native & Electron
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Ultimate GraphQL for Scalable Web Apps: Build and Scale Production-Ready Applications Using GraphQL, React, Node.js, and Apollo (English Edition)
Ultimate GraphQL for Scalable Web Apps: Build and Scale Production-Ready Applications Using GraphQL, React, Node.js, and Apollo (English Edition)
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Learning Langchain: Building AI and LLM Applications with Langchain and Langgraph
Learning Langchain: Building AI and LLM Applications with Langchain and Langgraph
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The Neo4j AI Blueprint: Building Intelligent Applications with Graph Databases, Machine Learning, and Generative AI
The Neo4j AI Blueprint: Building Intelligent Applications with Graph Databases, Machine Learning, and Generative AI
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Programming the Semantic Web – Build Flexible Applications with Graph Data
Programming the Semantic Web – Build Flexible Applications with Graph Data
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Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python
Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python
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Fullstack GraphQL Applications with GRANDstack: With React, Node.Js, and Neo4j
Fullstack GraphQL Applications with GRANDstack: With React, Node.Js, and Neo4j
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Neo4j Mastery: Building Intelligent Graph Databases, Queries, and Analytics for Real-World Applications
Neo4j Mastery: Building Intelligent Graph Databases, Queries, and Analytics for Real-World Applications
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Graph Theory with Applications to Engineering and Computer Science
Graph Theory with Applications to Engineering and Computer Science
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Agent Workflows with LangGraph.js: Build Smarter Applications Using Autonomous Agents, Reactive Pipelines, and Multi-Agent Collaboration: 2 (The LangGraph.js Intelligence & Automation Series)
Agent Workflows with LangGraph.js: Build Smarter Applications Using Autonomous Agents, Reactive Pipelines, and Multi-Agent Collaboration: 2 (The LangGraph.js Intelligence & Automation Series)
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Handbook of Research on Advanced Applications of Graph Theory in Modern Society (Advances in Computer and Electrical Engineering)
Handbook of Research on Advanced Applications of Graph Theory in Modern Society (Advances in Computer and Electrical Engineering)
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LangChain in Action: Hands-On Guide to Building Production-Ready LLM Applications, RAG Pipelines, and AI Agents with Python Using LangChain, LlamaIndex, and LangGraph
LangChain in Action: Hands-On Guide to Building Production-Ready LLM Applications, RAG Pipelines, and AI Agents with Python Using LangChain, LlamaIndex, and LangGraph
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The API Blueprint: Designing, Building, and Scaling GraphQL APIs for Modern Web and Mobile Applications
The API Blueprint: Designing, Building, and Scaling GraphQL APIs for Modern Web and Mobile Applications
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Graph Neural Network Methods and Applications in Scene Understanding
Graph Neural Network Methods and Applications in Scene Understanding
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LangChain in Action: Practical Python Projects for Building Smarter AI Applications - RAG, Memory, Tools, Agents, LangGraph & Deployment Strategies 2026
LangChain in Action: Practical Python Projects for Building Smarter AI Applications - RAG, Memory, Tools, Agents, LangGraph & Deployment Strategies 2026
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Building AI Agents with LangChain and LangGraph: A Practical Guide to Developing Intelligent LLM Workflows and Applications
Building AI Agents with LangChain and LangGraph: A Practical Guide to Developing Intelligent LLM Workflows and Applications
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Fauna Database Mastery: Building Scalable Applications with GraphQL and FQL
Fauna Database Mastery: Building Scalable Applications with GraphQL and FQL
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Graph Theory with AI Applications VOL-2
Graph Theory with AI Applications VOL-2
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Vector Database With GraphQL Node.js For Backend Development: Architecting Secure, Performant, and Scalable API Systems for Modern Applications (Modern Backend Engineering Series)
Vector Database With GraphQL Node.js For Backend Development: Architecting Secure, Performant, and Scalable API Systems for Modern Applications (Modern Backend Engineering Series)
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Graph Database Engineering with Neo4j: Designing, Querying, and Scaling Connected Data Systems for Intelligent Applications
Graph Database Engineering with Neo4j: Designing, Querying, and Scaling Connected Data Systems for Intelligent Applications
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Mastering LangGraph: Engineering Complex LLM Applications in Python
Mastering LangGraph: Engineering Complex LLM Applications in Python
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Building GraphRAG Systems for AI Applications: Learn Knowledge Graphs, RAG Architectures, and Structured Retrieval for Large Language Models
Building GraphRAG Systems for AI Applications: Learn Knowledge Graphs, RAG Architectures, and Structured Retrieval for Large Language Models
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AI Agents and Applications with LangChain, LangGraph, and MCP: Advanced Techniques for Professional Developers in Agent Orchestration and Tool ... Developer’s Guide to Autonomous AI Agents)
AI Agents and Applications with LangChain, LangGraph, and MCP: Advanced Techniques for Professional Developers in Agent Orchestration and Tool ... Developer’s Guide to Autonomous AI Agents)
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GraphRAG Made Simple: The Definitive Beginner’s Guide to Knowledge Graphs, Structured Retrieval, RAG, Graph-Based Retrieval-Augmented Generation, and Building Smarter AI Applications with LLMs
GraphRAG Made Simple: The Definitive Beginner’s Guide to Knowledge Graphs, Structured Retrieval, RAG, Graph-Based Retrieval-Augmented Generation, and Building Smarter AI Applications with LLMs
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Développement d’API Moderne: Concevez des API REST et GraphQL Sécurisées et Scalables pour des Applications Réelles
Développement d’API Moderne: Concevez des API REST et GraphQL Sécurisées et Scalables pour des Applications Réelles
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Engineering Knowledge Graphs for LLM Applications: Schema Design, Ontologies, RAG Pipelines, Graph Databases, and Context-Aware AI Systems
Engineering Knowledge Graphs for LLM Applications: Schema Design, Ontologies, RAG Pipelines, Graph Databases, and Context-Aware AI Systems
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