graph.md

Graph

• Graph Theory and — lost— Economic Development: Argentina in the 90s
• Graph database
• GraphDB: At Last, the Meaningful Database GraphDB의 일반적인 장점
• Converting Relational to Graph Databases
  • Converting Relational to Graph Databases
  • R2G: a Tool for Migrating Relations to Graphs
• Graph Connect
• Data Modeling in Graph Databases: Interview with Jim Webber and Ian Robinson
  • derived the basic graph structure from the questions we would want to ask of our domain
  • Hyperedges come from a different graph model known as "hypergraphs."
  • A hyperedge is a special kind of relationship that connects more than two nodes
  • best practices when modelling the graph data
    • Derive your relationship names from your use cases
    • Use intermediate nodes to connect multiple dimensions
    • Connect nodes in linked lists to represent logical or temporal ordering
• Evaluation of Contemporary Graph Databases for Efficient Persistence of Large-Scale Models Neo4j, OrientDB 비교
• Developing a Software Library for Graph Analytics
• Network Analysis and Modeling
• Community Detection in Graphs — a Casual Tour
• Scalability! But at what COST? PageRank, graph connectiviy comparison, RUST code example
• 음악시장과 메타데이터: 아이튠즈의 퇴조 vs. 스포티파이의 성장
• HyperGraph
  • Why Hypergraphs?
  • hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs
• Graphs in the database: SQL meets social networks
• Modeling creativity with a semantic network of common sense
  • mind == search space
  • concepts are represented in the search space based on knowledge and experience
  • concepts are related each other based on education, environment, and persnality
  • concepts are connected by paths because no one can examine our mind as a whole
  • an idea grows as more related concepts get involved
• Good Bye Knowledge Graph, Hello Google Knowledge Vault? Knowledge Vault 개요
• MAPPING THE NEXT FRONTIER OF OPEN DATA: CORPORATE DATA SHARING
• The impact of fast networks on graph analytics, part 1
• The impact of fast networks on graph analytics, part 2
• The impact of fast networks on graph analytics – Part 1
• The impact of fast networks on graph analytics – Part 2
• Owing Graph Minimization
• 컴퓨터 모형실험으로 사회학이론 반박 ‘눈길’
• Using Graph Theory to Build a Simple Recommendation Engine in JavaScript
• One Trillion Edges: Graph Processing at Facebook-Scale
• Epic Graph Battles of History: Chaos vs Order
• Counting Objects
• Elastic Resource Allocation for Distributed Graph Processing Platforms
• Fast graph operations in quantum computation
• Mapping Electoral Finance in the United States
• Fighting financial crimes and money laundering with graph data
• (E, K)Generating Python Module Dependency Graphs(종속성 그래프 생성하기)
• 오픈 그래프 프로토콜(Open Graph protocol) 페이스북, 트위터 등에서 쓰이는 링크 미리보기? 링크 삽입시 미리보기에 대해 알아 보자
• 링크의 미리보기 제목, 설명, 이미지를 결정하는 open graph 태그
• Graph Databases Will Change Your Freakin' Life (Best Intro Into Graph Databases)
• 대한민국 인맥지도 (SPARQL, Python, D3JS, Network visualization)
• Predicting Friendship Who’s Most Likely Your Next Friend?
• Temporal Graph Networks. A new neural network architecture for… | by Michael Bronstein | Jul, 2020 | Towards Data Science
• 데이터 모델링이란? (그래프 DB 편)
• 방대하고 복잡한 데이터를 시각화하는 그래프 DB
• Graph Databases VS Relational Databases – Learn How a Graph Database Works
• Scope Graphs | A Theory of Name Resolution
  • "Incremental, zero-config Code Nav using stack graphs" by Douglas Creager - YouTube
• Graph Thinking - Paco Nathan | PyData Global 2021 - YouTube
• Working with Data in a Connected World - Clair J. Sullivan | PyData Global 2021 - YouTube
• Dominika Basaj & Barbara Rychalska - Creating behavioral profiles of your customer - YouTube cleora algorithm
• Searching for Research Fraud in OpenAlex with Graph Data Science • Adam Day & Ebru Cucen • YOW! 2022 - YouTube
• Rory Graves - Building Billion Node Graphs for Machine Learning | Scala Days 2023 Seattle - YouTube graph database나 spark로는 million nodes graph를 위해서는 사용하지 못한다는 이야기
• Go Far, Go Together - Growing the Netflix Federated Graph - InfoQ
• Reverse Searching Netflix’s Federated Graph | Netflix TechBlog

book

• Applications of Graph Theory - Shariefuddin Pirzada and Ashay Dharwadker
• Graph Databases The Definitive Book on Graph Databases and Introduction to Neo4j
• NoSQL Distilled
• Model-Driven Design of Graph Databases
• Network Science - by Albert-László Barabási

Cluster-based graph

• giraph
  • Recommending items to more than a billion people
• hama

Commercial

• AllegroGraph
  • AllegroGraph 5.1 N-dimensional Geospatial
• OWLIM
• Virtuoso

Disk-based graph

• Agens Graph
  • 그래프 DB가 ‘밥’ 먹여준다
  • 보험사기 잡아내는 법 (feat.그래프 모델링, 데이터 시각화)
  • 기고 그래프 기술의 가치…표현, 발견 그리고 추론
  • AgensGraph Use Case: 제조 데이터 이력관리 시스템 구축
  • 그래프 모델링으로 알아보는 FDS
• Apache Jena
• BigData
• InfiniteGraph
• Neo4j
  • online training
  • gist.neo4j.org
  • neo4j youtube channel
  • cyphyer cheat sheet
  • examples
    • practice - from hbase to neo4j (import)
    • practice - locust neo4j rest api test
  • py2neo
  • Neo4j - The Fastest and Most Scalable Native Graph Database
  • Graph your meetup.com group with Neo4J and some Go - See more at: http://agonzalezro.github.io/graph-your-meetupcom-group-with-neo4j-and-some-go.html#sthash.ZsGJaC9k.dpuf cypher example
  • Lyft vs Uber : visualizing fraud patterns
  • GraphAware
    • Introducing GraphAware Neo4j Framework
    • GraphUnit: Testing Neo4j Code
  • maxdemarzi.com
    • FACEBOOK GRAPH SEARCH WITH CYPHER AND NEO4J
    • MATCHES ARE THE NEW HOTNESS
  • An Introduction to NOSQL, Graph Databases and Neo4j java code example
  • Intro to Neo4j presentation java, spring, ruby, cypher code example
  • Neo4j — get off the ground in 30min or less!
  • Neo4S is an Neo ORM for Scala it uses the AnormCypher ibrary
  • Neo4j - The Fastest and Most Scalable Native Graph Database
  • Introduction to Graph Databases you should use neo4j if you've ever joined 7 more tables
  • Intro to Graphs and Neo4j
  • Graph database Use Cases
  • Neo4j - 5 cool graph examples
  • Designing and Building a Graph Database Application – Architectural Choices, Data Modeling, and Testing - Ian Robinson @ GraphConnect NY 2013 java code example
  • Lighting talk neo4j fosdem 2011
  • NoSQL, Neo4J for Java Developers , OracleWeek-2012 spring code example
  • Hadoop and Graph Databases (Neo4j): Winning Combination for Bioanalytics - Jonathan Freeman @ GraphConnect NY 2013 csv batch import example
  • An overview of Neo4j Internals
  • Neo4j Graph Storage
  • Neo4j - graph database for recommendations
  • Introduction to Graph databases and Neo4j (by Stefan Armbruster)
  • Neo4j - The Benefits of Graph Databases (OSCON 2009)
  • Big Graph Analytics on Neo4j with Apache Spark
    • Kenny Bastani
  • Case Study: Real-time Recommendations with a Graph Database
  • Data Modeling with Neo4j
  • Intro to Neo4j or why insurances should love graphs
  • A NOSQL Overview And The Benefits Of Graph Databases (nosql east 2009)
  • Modelling game economy with Neo4j
  • renesca - Scala library for the Neo4j REST API
    • renesca-magic - typesafe graph database schemas in Scala for Neo4j
  • Neo4j sharding aspect
  • Strategies for Scaling Neo4j
  • Understanding Neo4j Scalability
  • Graphing a Lesson Learned Database for NASA Using Neo4j, R/RStudio & Linkurious
  • Import 10M Stack Overflow Questions into Neo4j In Just 3 Minutes
  • Neo4j 2.3: Enhanced Enterprise Applications at Scale
  • openCypher is an open source project to bring a new public implementation of the industry’s most widely adopted graph query language: Cypher
    • Meet openCypher: The SQL for Graphs
  • Experimenting with Neo4j and Apache Zeppelin (Neo4j)-[:LOVES]-(Zeppelin)
  • Cypher – the SQL for Graphs – Is Now Available for Apache Spark
    • Cypher는 선언적 그래프 쿼리 언어
    • Neo4j 팀에서 Cypher with Apache Spark에서 알파 릴리즈 발표
  • Neo4j: Natural Language Processing (NLP) in Cypher
  • Neo4J Cypher 가이드
  • 5 Tips & Tricks for Fast Batched Updates of Graph Structures with Neo4j and Cypher
  • Immutable graphs with Neo4j
  • Hands on Graph Data Visualization
  • Running Neo4j on Google Cloud
  • Welcome to the Neo4j Publication
  • Neo4j Operational Dashboards with Hawtio
  • Spring into Neo4j with Spring Data 5, Spring Boot 2, and Neo4j!
  • Graph Visualization With Neo4j Using Neovis.js
  • Importing Mapping Metaphor into Neo4j
  • Proudly Releasing: Efficient Graph Algorithms in Neo4j
  • Quick Import: Relato Business Graph Database from Data.World into Neo4j
  • Migrating from MySQL to Neo4j
  • Review prediction with Neo4j and TensorFlow
  • Using and Accessing neo4j-graphql with NodeJS
  • How to ingest data into Neo4j from a Kafka stream
  • Neo4j PageRank Algorithm and Path Pattern Matching on Flights Domain Model
  • 그래프 데이터베이스 Neo4j 첫만남
  • Efficient Neo4j Data Import Using Cypher-Scripts | by Andrea Santurbano | Neo4j Developer Blog | Medium
  • 데이터 분석 결과를 효과적으로 제공하기 위한 그래프 데이터베이스 구축
  • Create a New Project with the Neo4j GraphQL Library - YouTube
  • How to Build a GraphQL Server using Next.js and Neo4j
• OrientDB
  • getting started
    • udemy/orientdb-getting-started
    • OrientDBScreencasts
  • doc
  • active user community
  • example

    • mccarvell/VehicleHistoryGraphGen

      $ npm config set proxy http://x.y.z.w:p
      $ npm config set https-proxy http://x.y.z.w:p
      $ npm install
      $ npm config delete https-proxy
      $ npm config delete proxy
      $ node app.js
      

  • Petter Graff
    • Getting Started with OrientDB
  • slideshare.net/orientdb
  • Programming Language Bindings
  • OrientDB vs Neo4j - Comparison of query/speed/functionality
  • NoSQL Graph Databases - Why, When and Where
  • Fully Reactive - from Data to UI with OrientDB + Node.js + Socket.io - Dell'Aquila
  • How to Install OrientDB 1.7 Document Graph NoSQL DBMS in Windows 7 - Part 1
  • OrientDB 1.7 Document Graph NoSQL DBMS - Part 2
• s2graph
  • HBaseCon 2015: S2Graph - A Large-scale Graph Database with HBase
  • Apache S2Graph(incubating) At Kakao A Large Scale Distributed Graph Database
  • Apache S2Graph 기반 머신러닝 모델 환경 구축
    • MovieLens 데이터 사용 예제
  • S2Graph와 GraphQL
• Sesame
• Sparsity Technologies
• Titan
  • titan @ youtube
  • Graph Meetup Caleb Jones Tinkerpop and Titan
  • Titan: Big Graph Data with Cassandra
  • Titan: The Rise of Big Graph Data gremlin example, cansandra/hbase distributed mode, berkeley db
  • Intro to Graph Databases Using Tinkerpop, TitanDB, and Gremlin
  • Big Graph Data
  • Cassandra Summit 2014: TitanDB - Scaling Relationship Data and Analysis with Cassandra
  • Faunus: Graph Analytics Engine
  • Exploring Wikipedia with Gremlin Graph Traversals
  • Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads

Knowledge Graph

• Knowledge Graph 101 –from the perspective of engineers
• Machine Learning with Knowledge Graphs
• KickBorn knowledge versus Google
• Knowledge Graph Embedding by Translating on Hyperplanes
• Learning Structured Embeddings of Knowledge Bases
• Google Knowledge Graph — The Best Guide For Beginners
• Thought Vectors, Knowledge Graphs, and Curious Death(?) of Keyword Search - YouTube
• Drug and Vaccine Discovery: Knowledge Graph + Apache Spark - YouTube
• 지식 그래프를 이용한 인재 추천 시스템 - DRAMA&COMPANY
• Knowledge Graphs + Large Language Models = The ability for users to ask their own questions? | by Peter Lawrence | Mar, 2023 | Medium
• 지식 그래프를 활용한 UAM 도착 지연시간에 따른 승객 이탈률 분석 및 예측
• pygraft: Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips

Library

• Ajgu - a simple graph database power by BerkleyDB key-value store
• Amazon Neptune, 신규 그래프 데이터베이스 서비스 - 김상필 솔루션즈 아키텍트 (AWS)
• AmpliGraph - Open source Python library that predicts links between concepts in a knowledge graph
• ArangoDB
  • Native multi-model can compete with pure document and graph databases
  • Lockfree protection of data structures that are frequently read
• BitShares - Introducing BitShares Object Graph
• Cayley - An open-source graph database
• chemlambda-gui chemlambda is an artificial chemistry based on a graph rewrite system and various (random or deterministic) algorithms for applications of rewrites
• Cytoscape.js
  • 토폴로지 라이브러리 Cytoscape.js 라벨에 이미지 표시 | 웹으로 말하기
• D3.js
  • VISUALIZING MY SOCIAL GRAPH WITH D3.JS
  • Replacing jQuery with D3
• degdb - Distributed Economic Graph Database
• e4Graph C++ library
• FlashGraph - A SSD-based graph processing engine for billion-node graphs
• Gephi
  • GRAPHING THE HISTORY OF PHILOSOPHY
  • GEPHI
• GP (for Graph Programs) - a rule-based, nondeterministic programming language
• GPS: A Graph Processing System
• Gramps - Genealogical Research Software
• Grap - a language for typesetting graphs yacc, lex, C++(STL) compilation
• Graph - A thread-safe implementation of a graph data structure in Go
• Graph BLAS Forum
  • What is GraphBLAS?
  • GraphBLAS: Building a C++ Matrix API for Graph Algorithms - YouTube
• Graph Engine - SERVING BIG GRAPHS IN REAL-TIME windows
  • blogs.msdn.com/Graph Engine
• graph-explorer
  • Amazon Neptune announces graph-explorer, an open-source visual exploration tool for low-code users
• Graphgenpy
  • Graph Analytics Over Relational Datasets with Python
• Graph-Reply - A graph based REPL that saves to and loads from disk
• graphp - The GraPHP web framework
• GraphpostgresQL
• GraphVite - A general and high-performance graph embedding system for various applications Designed for CPU-GPU hybrid architecture
• Graphviz
  • simple outline markup -> graphiviz
  • Visualize your Makefile using GraphViz dot utility
  • Graphing retweets with Python and GraphViz
  • Hand-drawn Graphviz diagrams
  • Master / Apprentice relationship graph in Star Wars
  • graphviz로 그리면서 분석 및 구현 해보는 알고리즘과 자료구조 : 클리앙
• GraphX
  • 스사모 테크톡 - GraphX
  • Computing Shortest Distances Incrementally with Spark
• Gremlin - Traversing Graph Databases with Gremlin
  • The Gremlin Graph Traversal Language
  • Tales from the TinkerPop
  • Gremlin의 by()
  • 페이팔: 실시간 그래프 데이터베이스 분석을 통해 사기를 방지하는 방법 | 요즘IT
    • 페이팔: 실시간 그래프 데이터베이스 분석을 통해 사기를 방지하는 방법 | GeekNews
• greuler is graph theory visualization tool powered by d3 and on top of WebCola which allows the creation and manipulation of graphs with a simple api
• haystack- Graph "abstraction" over hbase
• json-graph-specification - A proposal for representing graph structure (nodes / edges) in JSON
• keylines.com
  • Introducing KeyLines
  • Visualizing the Titan Graph Database with KeyLines
  • Visualizing the Neo4j graph database with KeyLines
• LemonGraph - a log-based transactional graph (nodes/edges/properties) database engine that is backed by a single file python
• libgtkflow - Flowgraphs for Gtk+3
• Ligra is a lightweight graph processing framework for shared memory
  • Ligra: A Lightweight Graph Processing Framework for Shared Memory http://www.cs.cmu.edu/~jshun/ligra.html
  • Ligra is a lightweight graph processing framework for shared memory
• lisp2dot.awk
• MapGraph - Massively Parallel Graph processing on GPUs CUDA
• OGDL - Ordered Graph Data Language
• OpenGraphiti - OpenDNS Data Visualization Framework
• pattern.graph
• Pegasus An award-winning, open-source, graph-mining system with massive scalability
• py-ascii-graph - A simple python lib to print data as ascii histograms
• tagflow - stackoverflow graph
• TAO: The power of the graph
  • TAO: Facebook’s Distributed Data Store for the Social Graph
• Tinkerpop 분산 컴퓨팅 그래프 프레임 워크
  • TinkerPop3
  • blueprints
  • Implementing Temporal Graphs with Apache TinkerPop and HGraphDB
    • HGraphDB는 TinkerPop에 HBase 백엔드를 제공
    • HGraphDB 데이터베이스 디자인에 대한 개요와 TinkerPop을 사용하여 그래프 데이터를 삽입하고 쿼리 할 수있는 몇 가지 예제 (코드 포함) 소개
• Using MongoDB as a high performance graph database
  • Object Graph Mapper for managing RDF data in Mongo

Memory-based graph

• iGraph
  • Visualising Correlations using Graph python igraph visualization
  • Mac에서 gfortran4.8 에러 해결하기
• jGraph
• jung
• NetworkX Python
  • 20140830, Pycon2014 NetworkX를 이용한 네트워크 분석
  • Social network analysis with NetworkX
  • Visualising Markov Chains with NetworkX
  • Page ranking my twitter network using Python
  • Some Social Network Analysis with Python
  • NetworkX Tutorial
  • 법률 네트워크 분석: 30년간의 변화 Changes in legal citation network over 30 years - 김재윤
  • How to visualise the Global Exporting Network using NetworkX and D3
  • How to Perform Fraud Detection with Personalized Page Rank
  • Weighted graphs using NetworkX
  • Little Ball of Fur - A NetworkX extension library for graph sampling
  • Ordering Movie Credits With Graph Theory
  • Dina Bavli - Everybody Is an Influencer–Which Influencer Are You | PyData Global 2022 - YouTube
  • Croshapes - Using Graph to Design a Toy - Irina Smirnova-Pinchukova - YouTube

Paper

• Paper: FlashGraph: Processing Billion-Node Graphs On An Array Of Commodity SSDs
• Reading and Reasoning with Knowledge Graphs
• Pregel: A System for Large-Scale Graph Processing
• Pregel: A System for Large-Scale Graph Processing
  • 구글 KG의 근간이 되는 시스템
  • 이 논문을 기반으로 개발된 것이 Apache Jena
• Easy Access to the Freebase Dataset
  • Freebase를 쉽게 브라우징할 수 있는 http://freebase-easy.cs.uni-freiburg.de/browse/ 라는 사이트 구축 논문
• The Berlin SPARQL Benchmark
  • BSBM은 LUBM과 함께 Triple Store의 성능을 비교하기 위한 대표적인 벤치마크 테스트
• Knowledge Graph Embedding by Translating on Hyperplanes
• Sematch: Semantic Entity Search from Knowledge Graph

RDF

• Linked Data Platform 1.0 Primer
• SWI-Prolog for the (semantic) web

SPARQL

• 국립중앙도서관 linked open data - SPARQL 따라하기
• D2RQ Accessing Relational Databases as Virtual RDF Graphs
• OWL Reasoning Examples
• sparql-endpoint: Utilities to interact with a SPARQL endpoint in clojure
• UBY - A Large-Scale Unified Lexical-Semantic Resource
• Virtuoso SPARQL Query Editor
• YAGO: A High-Quality Knowledge Base