Search Results for "knowledge graph"

The graph notebook provides an easy way to interact with graph databases using Jupyter notebooks. Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. ...

NoteDiscovery delivers a self-hosted knowledge base and note-taking platform that empowers individuals and teams to create, organize, and explore their notes locally, giving complete control over their data without relying on commercial services. It emphasizes lightweight performance and privacy, storing notes as plain markdown files that can be easily managed, synced, or version controlled while keeping everything on your own server.

Build your models with PyTorch, TensorFlow or Apache MXNet. Fast and memory-efficient message passing primitives for training Graph Neural Networks. Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure. DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers. ...

...It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. The repository also contains a generator tool that can pull ontology definitions and emit TypeScript definitions in bulk, ensuring the typings stay up to date and maintain consistency. It supports scenarios such as nested objects, graphs of entities, and action types with input/output constraints, which makes it suitable for rich metadata authoring and linked-data workflows. ...

PixiJS is a fast and lightweight 2D rendering library that lets you create rich, interactive graphics, cross platform applications, and HTML5 games even without prior knowledge of WebGL. It’s a fantastic tool for creating rich, interactive content and with built-in cross platform compatibility and graceful degradation, there’s less work for you and more space for fun and creativity! PixiJS works across all devices and is incredibly fast. If you want to create exceptional experiences without...

Choose your favored cloud platform with ArangoGraph, a full-managed, scalable, and high-performance graph database service that delivers the added value of an integrated document store, full-text search engine, and geospatial capabilities. This unified solution offers seamless, hassle-free management of these diverse data models and types, relieving you of operational overhead and allowing you to focus on innovation and development. Run on ANY system. Plus, ArangoDB supports Kubernetes...

...Its layout algorithms help position nodes in aesthetically pleasing arrangements using force-directed simulations that adjust dynamically as the graph evolves. VivaGraphJS is modular, so you can extend or customize layouts, rendering, and interaction logic to fit specialized applications such as social network analysis, dependency mapping, or knowledge graphs.

ComplexEventExtraction is a Chinese NLP project for identifying relationships between events expressed in compound sentences. It defines patterns for causal, conditional, sequential, contrastive, and parallel event structures. The system uses explicit connective words and phrase combinations to split text into linked event pairs. Extracted results can support event graphs that represent how situations develop, conflict, or depend on one another. The repository catalogs hundreds of linguistic...