<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AMHEN on Blowfish</title><link>https://huggingaha.github.io/tags/amhen/</link><description>Recent content in AMHEN on Blowfish</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><managingEditor>huggingaha@gmail.com (时影)</managingEditor><webMaster>huggingaha@gmail.com (时影)</webMaster><copyright>© 2026 时影</copyright><lastBuildDate>Tue, 09 Aug 2022 00:00:00 +0000</lastBuildDate><atom:link href="https://huggingaha.github.io/tags/amhen/index.xml" rel="self" type="application/rss+xml"/><item><title>FAME：高效处理大规模属性化多重异构网络</title><link>https://huggingaha.github.io/blogs/kg/fame-spectral-graph-transformation-fast-random-projection-embedding/</link><pubDate>Tue, 09 Aug 2022 00:00:00 +0000</pubDate><author>huggingaha@gmail.com (时影)</author><guid>https://huggingaha.github.io/blogs/kg/fame-spectral-graph-transformation-fast-random-projection-embedding/</guid><description/></item><item><title>GATNE：面向属性、多重、异构网络的统一表示学习框架</title><link>https://huggingaha.github.io/blogs/kg/gatne-representation-learning-for-attributed-multiplex-heterogeneous-network/</link><pubDate>Fri, 22 Jul 2022 00:00:00 +0000</pubDate><author>huggingaha@gmail.com (时影)</author><guid>https://huggingaha.github.io/blogs/kg/gatne-representation-learning-for-attributed-multiplex-heterogeneous-network/</guid><description/></item></channel></rss>