/awesome-knowledge-graph

A curated list of Knowledge Graph related learning materials, databases, tools and other resources

Awesome Knowledge Graph Awesome

A curated list of Knowledge Graph related learning materials, databases, tools and other resources

Contents

Infrastructure

Graph Databases

  • AgensGraph - multi-model graph database with SQL and Cypher support based on PostgreSQL
  • ArangoDB - highly available Multi-Model NoSQL database
  • Blazegraph - GPU accelerated graph database
  • Cayley - open source database written in Go
  • CosmosDB - cloud-based multi-model database with support for TinkerPop3
  • Dgraph - Fast, Transactional, Distributed Graph Database (open source, written in Go)
  • DSE Graph - Graph layer on top of DataStax Enterprise (Cassandra, SolR, Spark)
  • Grakn.AI - a distributed hyper-relational database for knowledge-oriented systems, i.e. a distributed knowledge base
  • Graphd - the Metaweb/Freebase Graph Repository
  • JanusGraph - an open-source, distributed graph database with pluggable storage and indexing backends
  • Memgraph - High Performance, In-Memory, Transactional Graph Database
  • Neo4j - OLTP graph database
  • Sparksee - makes space and performance compatible with a small footprint and a fast analysis of large networks
  • Stardog - RDF graph database with OLTP and OLAP support
  • OrientDB - Distributed Multi-Model NoSQL Database with a Graph Database Engine
  • TigerGraph - a complete, distributed, parallel graph computing platform for enterprise, supporting web-scale data analytics in real-time.
  • Nebula Graph - A truly distributed, linear scalable, lightning-fast graph database, using SQL-like query language.
  • HugeGraph - An open source TinkerPop 3 compliant OLTP Graph Database with pluggable storage bakcend which is similar to JanusGraph. It also supports OLAP through Spark GraphX.

Triple Stores

  • AllegroGraph - high-performance, persistent graph database that scales to billions of quads
  • Apache Jena - open source Java framework for building Semantic Web and Linked Data applications
  • Eclipse RDF4J - (formerly known as Sesame) is an open source Java framework for processing RDF data. This includes parsing, storing, inferencing and querying of/over such data. It offers an easy-to-use API that can be connected to all leading RDF storage solutions. It allows you to connect with SPARQL endpoints and create applications that leverage the power of linked data and Semantic Web.
  • GraphDB - enterprise ready Semantic Graph Database, compliant with W3C Standards
  • Virtuoso - a "Data Junction Box" that drives enterprise and individual agility by deriving a Semantic Web of Linked Data from existing data silos
  • Hoply - explore bigger than RAM relational data in the comfort of Python.

Graph Computing Frameworks

  • Apache Giraph - an iterative graph processing system built for high scalability
  • Apache TinkerPop - a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP)
  • Apache Spark - GraphX - Apache Spark's API for graphs and graph-parallel computation
  • Tencent Plato - a fast distributed graph computation and machine learning framework used by WeChat.

Graph Visualization

  • AntV G6 - Simple, easy and complete high performance graph visualization engine written in JavaScript, from Ant Financial
  • Gephi - Graph visualization platform software runs on Windows, Mac and Linux.
  • KeyLines & ReGraph - Graph visualization tookits for JavaScript and React developer from Cambridge Intelligence.
  • Linkurious - Linkurious is an enterprise ready on-premises graph visualization and analysis platform.

Languages

  • Cypher
  • Gremlin
  • SPARQL
  • GraphQL+- - The query language of Dgraph, which is based on Facebook's GraphQL
  • GQL - An initiative to create a standard query language for property graph database, just like SQL for relational database.

Managed Hosting Services

Knowledge Engineering

  • YAGA-NAGA - Harvesting, Searching, and Ranking Knowledge from the Web

Knowledge Fusion

  • Dedupe - dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on structured data.
  • LIMES - Link Discovery Framework for Metric Spaces.

Knowledge Graph Dataset

General

  • BabelNet - Both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms, and a semantic network which connects concepts and named entities in a very large network of semantic relations, made up of about 16 million entries, called Babel synsets. Each Babel synset represents a given meaning and contains all the synonyms which express that meaning in a range of different languages.
  • Wikidata - Wikidata is a free, collaborative, multilingual, secondary database, collecting structured data to provide support for Wikipedia, Wikimedia Commons, the other wikis of the Wikimedia movement, and to anyone in the world.
  • Google Knowledge Graph - Google’s Knowledge Graph has millions of entries that describe real-world entities like people, places, and things.
  • DBpedia - DBpedia is a crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects.
  • XLore - A large-scale English-Chinese bilingual knowledge graph by structuring and integrating Chinese Wikipedia, English Wikipedia, French Wikipedia, and Baidu Baike.
  • The GDELT Project - The GDELT Project monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world.
  • YAGO - A huge semantic knowledge base, derived from Wikipedia, WordNet and GeoNames. Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. The source code of YAGO is in this Github repo.
  • Zhishi.me - Knowledge Graph data extracted from the largest Chinese encyclopedias, Baidu Baike, Hudong Baike and Chinese Wikipedia.

Semantic Network

  • ConceptNet - ConceptNet is a freely-available semantic network, designed to help computers understand the meanings of words that people use.
  • Microsoft Concept Graph - For Short Text Understanding
  • OpenHowNet - An Open Sememe-based Lexical Knowledge Base in Chinese.
  • WordNet - A free large lexical database of English from Princeton University.

Academic

  • AMiner - Aminer aims to provide comprehensive search and mining services for researcher social networks.
  • Microsoft Academic - Microsoft Academic (MA) employs advances in machine learning, semantic inference and knowledge discovery to help you explore scholarly information in more powerful ways than ever before.
  • AceMap - Academic search engine based on knowledge graph which includes entities like paper, author, institution and etc.

Learning Materials

Official Documentations

  • Cypher - reference documentation
  • Gremlin - reference documentation

Community Effort

Conferences

Contribute

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License

CC0

To the extent possible under law, Sitao Z. has waived all copyright and related or neighboring rights to this work.