Search Results for "social graph"

...According to practical business scenarios, we found the top solutions. Well-designed simple, flexible, and extendable interfaces will satisfy your infinite originality. A social network is an important scenario in graph visualization. The relationships become complicated with the development of social networks. Graph visualization and analysis do well in these complex cases.

...Built-in features include dark/light modes, archive and taxonomy views, reading-time indicators, breadcrumbs, and an optional profile/landing layout. Client-side search, code highlighting, social links, and comment integrations can be enabled with simple configuration, avoiding custom JavaScript for most needs. The theme ships with SEO-friendly meta tags, Open Graph/Twitter cards, and RSS feeds to improve discoverability. Because it’s engineered for speed—lean HTML, minimized assets, and Hugo’s native rendering—it delivers excellent performance scores out of the box.

...Content is managed through a structured configuration and MDX-based content system, so you can define sections, projects, blog posts, gallery items, and about/CV information in code-backed content files. The template emphasizes SEO with auto-generated Open Graph/X images, schemas, and metadata derived from the content configuration, making it more discoverable out of the box. It offers flexible feature toggles to enable or disable sections such as blog, work, gallery, and about, as well as options for automatic social link generation and password-protected URLs.

JGraphT is a free Java class library that provides mathematical graph-theory objects and algorithms. JGraphT supports a rich gallery of graphs and is designed to be powerful, extensible, and easy to use.

Welcome to YAMT - Yet Another Minimal Theme. YAMT is a minimal Jekyll theme focused on simplicity and ease-of-use. It has great modularity, allowing you to easily decide what you actually want on your website.

Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle.

...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.