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Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jun 16, 2025 · Frontend Development

Master CSS shape(): Create Complex Clip‑Path Shapes with Percentages and Arcs

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.

ARCCSSclip-path
0 likes · 14 min read
Master CSS shape(): Create Complex Clip‑Path Shapes with Percentages and Arcs
DataFunTalk
DataFunTalk
Jan 28, 2022 · Artificial Intelligence

Graph Models in Information Feed Recommendation: Principles and Practice

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.

DeepWalkGraph Neural NetworksGraphSAGE
0 likes · 19 min read
Graph Models in Information Feed Recommendation: Principles and Practice
Tencent Cloud Developer
Tencent Cloud Developer
Jun 9, 2021 · Artificial Intelligence

Overview of Common Graph Embedding Methods in Industry

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.

DeepWalkEGESMetapath2Vec
0 likes · 14 min read
Overview of Common Graph Embedding Methods in Industry
Sohu Tech Products
Sohu Tech Products
May 27, 2020 · Artificial Intelligence

Overview of Graph Embedding Techniques: DeepWalk, LINE, node2vec, and EGES

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.

DeepWalkRecommendation systemsgraph embedding
0 likes · 20 min read
Overview of Graph Embedding Techniques: DeepWalk, LINE, node2vec, and EGES