19 repository-uri
Representing entities and their connections as nodes and edges for network analysis.
Distinct from Relationship Modeling: Focuses on general network modeling for pathfinding, unlike database-specific entity-relationship mapping.
Explore 19 awesome GitHub repositories matching data & databases · Graph Relationship Modeling. Refine with filters or upvote what's useful.
This project is a collection of programming language references and syntax cheat sheets designed for rapid developer onboarding. It serves as a library of code-based documentation that uses valid source code files to provide whirlwind tours of various language specifications. The project focuses on programming language learning by providing concise, commented code examples that explain core features and syntax in place. This approach enables developers to quickly grasp language-specific patterns, data types, and execution flow through a consistent reference format. The content covers a broad
Provides examples of establishing labeled connections and directed edges between nodes in a graph.
Gonum is a numerical computing library for the Go programming language, providing a collection of packages for scientific computing, linear algebra, statistics, and optimization. It functions as a framework for performing complex numerical computations and solving systems of linear equations. The project includes a dedicated graph analysis framework for modeling network graphs and solving connectivity and pathfinding problems. It also provides a statistical analysis toolkit for computing descriptive and inferential statistics and estimating mixture entropy. The library's capability surface c
Models relationships between entities as nodes and edges to solve connectivity and pathfinding problems.
This repository is the official documentation for TensorFlow, a machine learning framework. It provides comprehensive guides, tutorials, and API references for building, training, and deploying machine learning models. The documentation covers the full lifecycle of machine learning projects, from constructing data pipelines and building neural networks with high-level APIs to customizing training loops and deploying trained models in production, on edge devices, or in browsers. The documentation includes step-by-step tutorials for a range of tasks, including reinforcement learning, ranking mo
Documents graph neural network tutorials that use graph structure to improve model accuracy.
Highly extensible platform for developers to better understand the complexity of Kubernetes clusters.
Ships a navigable graph model of Kubernetes resources with color-coded status indicators for visual inspection.
Represents AWS resources and their relationships as a directed graph for visual exploration and security analysis.
Acest proiect este o bibliotecă de algoritmi C# și o colecție de structuri de date. Servește ca referință de informatică oferind implementări practice ale tiparelor clasice de sortare, căutare și traversare a grafurilor. Biblioteca include un set de instrumente dedicat procesării șirurilor pentru analizarea similitudinii textului, calcularea distanțelor de editare și gestionarea căutărilor bazate pe prefix. De asemenea, dispune de o implementare a teoriei grafurilor pentru modelarea relațiilor de rețea și calcularea celor mai scurte căi. Codul sursă acoperă o gamă largă de capabilități, inclusiv gestionarea colecțiilor liniare și ierarhice, manipularea și vizualizarea structurilor de date de tip arbore și calcularea secvențelor numerice matematice.
Implements nodes and edges to represent network relationships for pathfinding and analysis.
Algodeck is an open-source collection of flash cards designed for reviewing algorithms, data structures, and system design concepts, specifically curated for technical interview preparation. The project organizes knowledge into atomic question-and-answer pairs and incorporates spaced repetition scheduling to optimize long-term memory retention. The flash card catalog covers a broad range of computer science topics, including classic sorting algorithms like quicksort and mergesort, data structure operations for arrays, trees, heaps, tries, and graphs, as well as bit manipulation techniques for
Describes graph databases for modeling complex many-to-many relationships.
Oasis is an LLM-powered multi-agent social simulator and research tool designed to study synthetic social phenomena. It functions as a synthetic social network platform, replicating the infrastructure of social sites including user profiles, follow relationships, and content discovery mechanisms to model human-like social behaviors at scale. The framework orchestrates large-scale agent populations, supporting up to one million autonomous agents. It distinguishes itself by translating language model outputs into concrete social actions and external tool executions through a tool-calling orches
Represents users and their follow relationships as nodes and edges to simulate information propagation.
TypeDB este o bază de date graf și un sistem de gestionare a cunoștințelor (knowledge graph) puternic tipizat. Servește ca un magazin de date multi-model care unifică structurile relaționale, document și graf într-un singur mediu, funcționând atât ca o bază de date conformă ACID, cât și ca un motor de interogare declarativ. Sistemul se distinge prin utilizarea modelării n-ary hypergraph și a ierarhiilor de tip polimorfice. Utilizează o schemă puternic tipizată pentru a impune reguli structurale și a valida integritatea datelor, permițând inferența polimorfică bazată pe tip și polimorfismul de interfață bazat pe roluri pentru a rezolva automat relațiile complexe în timpul execuției interogărilor. Platforma acoperă o gamă largă de capabilități, inclusiv calcularea relațiilor recursive prin tabling, tranzacții cu izolare de snapshot și regăsirea declarativă a datelor. De asemenea, suportă disponibilitatea ridicată prin replicarea clusterelor bazată pe consens, controlul accesului bazat pe roluri și integrarea cu agenți AI pentru regăsirea datelor structurate. Gestionarea este susținută printr-o interfață de linie de comandă, iar sistemul oferă instrumente pentru vizualizarea schemelor graf și auditarea activității administrative.
Implements a hypergraph structure where relations connect any number of objects and possess their own attributes.
Apache AGE is a graph database extension for PostgreSQL that adds openCypher graph query capabilities directly within the relational database environment. It functions as a loadable extension that translates Cypher graph traversal queries into SQL expressions, enabling users to run pattern matching and path analysis alongside standard SQL operations within a single database instance. The extension stores labeled, directed property graphs as isolated schemas with internal relational tables for vertices, edges, and labels, preventing cross-graph interference. It supports hybrid query execution
Returns full edge objects with labels and properties from matched graph patterns.
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
The product establishes connections between nodes based on logical rules or shared properties.
Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di
Establishes connections between node tables by defining source and target labels with optional properties.
FalkorDB is a high-performance graph database management system and vector graph database. It serves as a knowledge graph construction tool and a GraphRAG knowledge store, integrating structured property graphs with vector search to provide grounded context for large language models. The engine is designed as a multi-tenant graph engine, capable of hosting thousands of isolated datasets within a single instance. The system distinguishes itself by using linear algebra for query execution, treating relationship tensors as matrix multiplications to achieve low-latency multi-hop traversals. It ut
Represents multiple relationships of the same type between two entities using high-performance tensors.
Gramps is genealogy management software designed to document family trees, ancestral records, and genealogical research. It functions as a family history database that stores complex kinship links and historical records while providing full data versioning. The platform includes a kinship relationship graph for rendering ancestral connections as interactive diagrams and a geographic family tree visualizer that uses spatial data to display the movement and distribution of ancestors. It is built as an extensible platform that supports third-party plugins for custom reports, filters, and interfa
Models ancestral connections as nodes and edges to calculate lineages and generate family network diagrams.
BloodHound is an identity risk management platform and graph-based attack path analyzer used to map identity relationships and permissions in Active Directory. It functions as a security tool for auditing directory services, uncovering unintended privilege relationships, and visualizing sequences of permissions that can lead to domain compromise. The project differentiates itself as a comprehensive adversary emulation framework that coordinates remote agents and executes post-exploitation commands. It includes a reverse proxy for bypassing multi-factor authentication via real-time session hij
Models environments as a graph by ingesting data from identity and device management systems to identify attack paths.
likec4 is an architecture-as-code framework that transforms text-based architecture definitions into interactive diagrams, static websites, and image files. It serves as a system architecture visualizer and C4 model diagram generator, allowing users to define software components, boundaries, and deployment infrastructure using a domain-specific language. The tool distinguishes itself by providing a modeling environment with Language Server Protocol integration for real-time validation and autocomplete. It enables interactive architecture documentation where users can navigate through hierarch
Maintains the system architecture as a resource graph of components and dependencies for hierarchy analysis.
Diagram Maker este o bibliotecă bazată pe web concepută pentru construirea de instrumente interactive de vizualizare a grafurilor și modelare a datelor. Oferă un framework pentru randarea structurilor de noduri și legături, permițând utilizatorilor să creeze medii de editare personalizate unde relațiile complexe de date pot fi vizualizate și manipulate direct în browser. Biblioteca utilizează o arhitectură modulară, bazată pe plugin-uri, care permite dezvoltatorilor să extindă funcționalitatea de editare de bază pentru a îndeplini cerințe specifice fără a altera codul sursă subiacent. Gestionează starea aplicației printr-un magazin centralizat, imuabil, asigurându-se că interacțiunile și actualizările de date rămân consistente în întregul spațiu de lucru. Framework-ul susține o gamă de capabilități vizuale și analitice, inclusiv capacitatea de a adnota metadate pe conexiuni, de a calcula limite spațiale pentru poziționarea precisă a obiectelor și de a aplica teme de culori alternative. Gestionează interacțiunile utilizatorului printr-un sistem bazat pe evenimente care coordonează actualizările între interfața vizuală și modelul de date subiacent.
Supports modeling and annotating connections between data points to track complex dependencies.
This project is a comprehensive technical interview study resource designed to help developers prepare for engineering job assessments. It functions as a structured guide that curates essential computer science fundamentals, web development standards, and programming language concepts into a format optimized for professional evaluation. The repository distinguishes itself by providing strategic guidance on architectural decision-making and professional communication. Beyond simple question-and-answer pairs, it offers frameworks for articulating experience during interviews and suggests profes
Represents entities and their connections as nodes and edges for network analysis.
This repository serves as an educational collection of practical examples and tutorials designed to facilitate the study of machine learning and data science concepts using Python. It provides a structured environment for learning core algorithms and data analysis techniques through hands-on implementation and iterative exploration. The project covers a broad range of analytical capabilities, including predictive modeling for regression, classification, and clustering tasks, as well as network topology analysis for identifying influence patterns in interconnected data. It also incorporates na
Implements graph-based relationship modeling to compute topological metrics and identify influence patterns.