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This article introduces the renowned "awesome" GitHub repository, highlights its extensive sub‑lists for various domains, focuses on the awesome‑web‑scraping collection, and presents a newly created Chinese version that aggregates Python, JavaScript, Go, and other language‑specific web‑scraping tools and libraries.
Learn the most common GitHub terminology, how to perform precise searches using keywords, stars, forks, and the awesome list, and discover useful shortcuts for code highlighting, file navigation, and locating active users, enabling you to efficiently explore and leverage projects on the platform.
This article presents a curated collection of high‑star GitHub "awesome" repositories covering knowledge graph fundamentals, relation extraction, KG‑QA, graph construction, graph neural networks, dynamic graph learning, and multimodal knowledge graphs, providing links, summaries, and key resources for researchers and practitioners.