This tutorial explains the CSS shape() function, its syntax, and how it extends clip‑path and offset‑path capabilities, allowing developers to craft responsive, irregular shapes using percentages, variables, and arc commands, with practical code examples and browser compatibility notes.
This article introduces graph modeling concepts, explains how they are applied to large‑scale information‑feed recall, details specific algorithms such as DeepWalk, LINE and GraphSAGE, describes feature engineering, loss design, training, deployment, evaluation, and discusses current challenges and future directions.
The article surveys six widely‑used graph‑embedding techniques—DeepWalk, Node2Vec, LINE, SDNE, EGES and Metapath2Vec—explaining how each transforms graph topology into low‑dimensional vectors via random walks, biased sampling, proximity‑based objectives, deep auto‑encoders, side‑information integration, or meta‑path‑guided walks for industrial applications.
This article provides a comprehensive overview of graph embedding methods—including DeepWalk, LINE, node2vec, and EGES—explaining their algorithms, random‑walk strategies, proximity definitions, incorporation of side information, and their applications in large‑scale recommendation systems.
