<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Graph Database on Jeanphilo Blog</title><link>https://shio-chan-dev.github.io/jeanblog/tags/graph-database/</link><description>Recent content in Graph Database on Jeanphilo Blog</description><generator>Hugo -- 0.159.2</generator><language>en-us</language><lastBuildDate>Mon, 09 Feb 2026 10:04:05 +0800</lastBuildDate><atom:link href="https://shio-chan-dev.github.io/jeanblog/tags/graph-database/index.xml" rel="self" type="application/rss+xml"/><item><title>Graph Partitioning Algorithms: Edge-cut vs Vertex-cut and an Engineering Guide to METIS</title><link>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/100-graph-partitioning-edge-cut-vertex-cut-metis/</link><pubDate>Mon, 09 Feb 2026 10:04:05 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/100-graph-partitioning-edge-cut-vertex-cut-metis/</guid><description>A practical graph partitioning guide for production graph databases, covering Edge-cut vs Vertex-cut, the core METIS workflow, runnable examples, and an engineering tuning checklist.</description></item><item><title>Subgraph Matching / Pattern Matching: VF2, Ullmann, and Engineering-Grade Pruning - ACERS Analysis</title><link>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/70-subgraph-matching-vf2-ullmann-and-pruning/</link><pubDate>Mon, 09 Feb 2026 09:59:16 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/70-subgraph-matching-vf2-ullmann-and-pruning/</guid><description>A systematic guide to Subgraph Isomorphism (NP-hard) and the core ideas of VF2/Ullmann, with emphasis on engineering reality: constrained pattern queries and candidate pruning usually matter more than the algorithm name itself.</description></item><item><title>The Graph Centrality Trio: Degree, Betweenness, and Closeness - ACERS Engineering Analysis</title><link>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/50-graph-centrality-degree-betweenness-closeness/</link><pubDate>Mon, 09 Feb 2026 09:56:11 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/50-graph-centrality-degree-betweenness-closeness/</guid><description>A systematic guide to the three core graph centrality metrics: Degree, Betweenness, and Closeness. The key engineering takeaway: most production systems prioritize Degree and approximate Betweenness, with clear complexity and rollout tradeoffs.</description></item><item><title>PageRank / Personalized PageRank: Node Importance and Incremental Updates in Graph Databases - ACERS Analysis</title><link>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/60-pagerank-and-personalized-pagerank/</link><pubDate>Mon, 09 Feb 2026 09:54:25 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/60-pagerank-and-personalized-pagerank/</guid><description>A systematic explanation of PageRank and Personalized PageRank, from iterative computation and sparse-matrix implementation to incremental update strategies, covering core graph-database scenarios such as recommendation and influence analysis.</description></item><item><title>Connected Components and Strongly Connected Components: Tarjan / Kosaraju ACERS Engineering Analysis</title><link>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/40-connected-components-and-scc-tarjan-kosaraju/</link><pubDate>Mon, 09 Feb 2026 09:50:22 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/40-connected-components-and-scc-tarjan-kosaraju/</guid><description>A systematic guide to undirected Connected Components and directed SCCs, with emphasis on Tarjan (common in production) and Kosaraju, mapped to graph-database scenarios such as community pre-grouping, subgraph splitting, and partition hints.</description></item></channel></rss>