TigerGraph 随身听：带你走进图分析
TigerGraph你可能不知道，我们每天都在使用图： 每次访问LinkedIn时，看到1度、2度或3度联系人，我们都从该社交网站基于图数据库构建的专业网络图中获得结果。 Facebook、Instagram和Twitter都使用图数据库和图分析来了解用户之间的相互关系，并将他们与正确的内容联系起来。 每次执行搜索时，我们都在点击搜索引擎的知识图。 亚马逊上的那些产品推荐——“购买此商品的人也购买了……”或“这些商品经常一起购买”？ 这也来自图分析查询。 TigerGraph的分析速度比关系型数据库快1000倍： 关系数据库将数据存储在单独的表中，需要耗时的表联接来分析关系。图数据库将数据存储为预连接的实体，因此无需进行表联接——只需遍历图或连接的数据即可查看和分析关系。TigerGraph的核心是设计有高性能存储和计算功能的分布式图数据库。 每个实体和连接实体的每个边都是计算单元，可提供最佳性能。您的数据会... more
| Publishes | Weekly | Episodes | 41 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Categories | How ToEducationTechnology | ||
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近期LDBC宣布TigerGraph成为第一个成功通过1TB LDBC SNB 商业智能工作负载测试的企业。但国内LDBC被滥用严重，很多国内厂商不顾LDBC的要求，在市场上宣传了很多不实信息，误导国内受众。本期播客通过和专家对话详细解读 LDBC 基准测试。本期随身听，相关资料，您也可以前往官网查看：
www.tigergraph.com.cn/walkman/episode-40/
欢迎关注微信公众号，只需搜索“TigerGraph服务号”或者“TigerGraph”，即可了... more
上期我们介绍了基于图神经网络的图异常值检测，今天我们就来了解一下图数据切分与模型数据载入的问题，本期内容节选自TigerGraph图课堂的内容，由TigerGraph高级客户成功顾问叶力豪为大家详细讲解。如果想看完整版内容，可以登陆TigerGraph官网观看。另外，也跟大家预告一下我们明天的图课堂直播课程，本期内容将分享TigerGraph的全新方案：在图数据库中使用GNN对十亿级数据进行全量推理。关注TigerGraph微信公众号，点击菜单栏中的“直播报名”就可以报名啦。下面就开始今天的内容... more
今天我们要介绍的是由伊利诺伊大学芝加哥分校正在攻读博士学位的博士生窦英通撰写的基于图神经网络的图异常值检测文章，作者致力于图数据挖掘、欺诈检测和安全机器学习。文章的内容基于他最近的论文和 在KDD 2022 机器学习在金融领域workshop的分享。本期随身听，相关资料，您也可以前往官网查看：www.tigergraph.com.cn/walkman/episode-38/欢迎关注微信公众号，只需搜索“TigerGraph服务号”或者“TigerGraph”，即可了解更多图技术对... more
大家好，欢迎收听本期的TigerGraph 随身听，不知道大家对于图技术增强高级分析和机器学习了解多少？今天我们来为大家介绍一本最新的专门介绍这方面的书——由O‘Reilly出版的《使用 TigerGraph图技术增强高级分析和机器学习》。很多小伙伴可能已经下载了这本书的早期版本，自去年4月12日首次发布以来，到今年9月份，历经六次重要更新，目前该书的最新版本已增加到223 页，内容包含：图基础、图机器学习、统一ID(实体解析)、客户360和客户旅程分析、初创公司投资分析、欺诈检测和反洗钱、个性... more
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