{"id":21155289,"url":"https://github.com/bramblexu/knowledge-graph-learning","last_synced_at":"2026-01-28T05:19:11.100Z","repository":{"id":53880610,"uuid":"155827033","full_name":"BrambleXu/knowledge-graph-learning","owner":"BrambleXu","description":"A curated list of awesome knowledge graph tutorials, projects and communities.","archived":false,"fork":false,"pushed_at":"2023-01-24T01:13:19.000Z","size":75,"stargazers_count":762,"open_issues_count":377,"forks_count":121,"subscribers_count":41,"default_branch":"master","last_synced_at":"2025-04-22T22:40:55.834Z","etag":null,"topics":["knowledge-graph","knowledge-graph-embeddings","relation-extraction"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BrambleXu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-11-02T07:02:51.000Z","updated_at":"2025-04-21T09:39:34.000Z","dependencies_parsed_at":"2023-02-13T08:00:20.801Z","dependency_job_id":null,"html_url":"https://github.com/BrambleXu/knowledge-graph-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BrambleXu/knowledge-graph-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BrambleXu%2Fknowledge-graph-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BrambleXu%2Fknowledge-graph-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BrambleXu%2Fknowledge-graph-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BrambleXu%2Fknowledge-graph-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BrambleXu","download_url":"https://codeload.github.com/BrambleXu/knowledge-graph-learning/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BrambleXu%2Fknowledge-graph-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28840088,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-28T02:10:51.810Z","status":"ssl_error","status_checked_at":"2026-01-28T02:10:50.806Z","response_time":57,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["knowledge-graph","knowledge-graph-embeddings","relation-extraction"],"created_at":"2024-11-20T11:17:25.328Z","updated_at":"2026-01-28T05:19:11.076Z","avatar_url":"https://github.com/BrambleXu.png","language":null,"readme":"# awesome-knowledge-graph[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\nA curated list of awesome knowledge graph tutorials, projects and communities.\nBoth Chinese and English resource are listed in language respectively.\nPlease feel free to pull requests to add links.\n\n\n## Table of Contents\n\n* **[Papers](#papers)**\n* **[Useful Articles/Slides](#useful-articlesslides)**\n* **[Courses and Lectures](#courses-and-lectures)**\n* **[Datasets](#datasets)**\n* **[Implementations and Tools](#implementations-and-tools)**\n* **[Community](#community)**\n\n\u003c!--* **[Articles](#articles)**--\u003e\n\n## Papers\n\nI write notes of paper and post them in the issue. It is written in Chinese. Feel free to post your notes no matter what language you use.\n\n**Knowledge Graph Related task**\n\n\n- [Information Extraction/Open IE](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3AIE%28T%29+)\n- [Knowledge Graph Population/Construction Task](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3AKGP%2FKGC%28T%29+): Construct a Knowledge Graph from Different Sources\n- [Knowledge Base Completion/Knowledge Graph Reasoning](https://github.com/BrambleXu/knowledge-graph-learning/issues?q=is%3Aissue+is%3Aopen+label%3AKBC%2FKGR%28T%29): Entity Prediction or Link Prediction\n- [Knowledge Representation Learning \u0026 Knowledge Embedding](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=%E2%9C%93\u0026q=label%3AKRL%2FKGE%28%28T%2FM%29+)\n- [Knowledge based Recommendation System](https://github.com/BrambleXu/knowledge-graph-learning/issues/250)\n- [Named Entity Linking](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3ANEL%28T%29+)\n- [Named Entity Recognition](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3ANER%28T%29+)\n- [Ontology-based information extraction](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3AOBIE%28T%29+)\n- [Relation Extraction](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3ARE%28T%29+)\n- [Semantic Role Labeling](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3ASRL%28T%29+)\n\n\u003cdetails\u003e\u003csummary\u003eother non-related task paper\u003c/summary\u003e\n\u003cp\u003e\n\n**Tag with task**\n\n- [Annotation](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3AAnnotation%28T%29+)\n- [Coreference Resolution](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3ACR%28T%29+)\n- [Data Augmentation](https://github.com/BrambleXu/knowledge-graph-learning/issues?q=is%3Aopen+is%3Aissue+label%3ADataAug%28T%29)\n- [Dependency Parsing](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3ADP%28T%29+)\n- [Domain Adaptation/Domain Specific](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3ADA%28T%29+)\n- [Natural Language Understanding](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3ANLU%28T%29+)\n- [Neural Machine Translation](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3ANMT%28T%29+)\n- [Question Answering/Machine Comprehension](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3AQA%28T%29+)\n- [Recommendation](https://github.com/BrambleXu/knowledge-graph-learning/issues?q=is%3Aopen+is%3Aissue+label%3ARecommendation%28T%29)\n- [Relational Reasoning](https://github.com/BrambleXu/knowledge-graph-learning/issues?q=label%3ARR%28T%29)\n- [Summarization](https://github.com/BrambleXu/knowledge-graph-learning/issues?q=is%3Aopen+is%3Aissue+label%3ASummarization%28T%29)\n- [Slot Filling](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3ASF%28T%29+)\n- [Text Classification](https://github.com/BrambleXu/knowledge-graph-learning/issues?q=label%3ATC%28T%29)\n\n\n**Tag with Model**\n\n- [BERT](https://github.com/BrambleXu/knowledge-graph-learning/issues?q=label%3ABERT%28M%29)\n- [Embedding/Pre-train Model/Task](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3AEmbedding+)\n- [End-to-end Model](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3AE2E%28M%29+)\n- [Graph Neural Network](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=label%3AGNN%28M%29+)\n- [Multi-Task/Joint Learning](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3AMTL%28M%29+)\n- [Transformer Based Model](https://github.com/BrambleXu/knowledge-graph-learning/issues?utf8=✓\u0026q=+label%3ATransformer%28M%29+)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n## Useful Articles/Slides\n\n* [ontotext blog](https://www.ontotext.com/category/business/)\n* [Knowledge Extraction and Inference from Text (KDD 2018 Tutorial)](https://sites.google.com/site/keit2018kdd/)\n* [Enterprise\tKnowledge\tGraphs for Large\tScale\tAnalytics](https://cci.drexel.edu/bigdata/bigdata2017/files/Tutorial1-1.pdf) from IBM\n* [Getting Started with Knowledge Graphs](https://www.slideshare.net/phaase/getting-started-with-knowledge-graphs) from metaphacts\n* [Mining Knowledge Graphs from Text: A Tutorial](https://kgtutorial.github.io) from WSDM 2018 Tutorial\n* [Knowledge Graphs - The Power of Graph-Based Search](https://www.slideshare.net/neo4j/knowledge-graphs-the-power-of-graphbased-search) from Neo4j\n* [Knowledge Integration in Practice](https://www.slideshare.net/pmika/knowledge-integration-in-practice) from YAHOO\n* [知识图谱论文合集](https://zhuanlan.zhihu.com/p/44904796)\n* [知识图谱入门 (三)](http://pelhans.com/2018/03/19/xiaoxiangkg-note3/#%E4%BA%8B%E4%BB%B6%E6%8A%BD%E5%8F%96)\n* [知识图谱上的实体链接](http://blog.openkg.cn/%e6%8a%80%e6%9c%af%e5%8a%a8%e6%80%81-%e7%9f%a5%e8%af%86%e5%9b%be%e8%b0%b1%e4%b8%8a%e7%9a%84%e5%ae%9e%e4%bd%93%e9%93%be%e6%8e%a5/)\n* [Recent trends of Entiy Linking](https://github.com/izuna385/EntityLinking_RecentTrend)\n\n### Relation Extraction\n\n* [A SURVEY ON RELATION EXTRACTION (CMU)](http://www.cs.cmu.edu/~nbach/papers/A-survey-on-Relation-Extraction-Slides.pdf)\n* [Relation Extraction: CSE 517: Natural Language Processing](https://courses.cs.washington.edu/courses/cse517/13wi/slides/cse517wi13-RelationExtraction.pdf)\n* [Relation Extraction II: CSE 517: Natural Language Processing](https://courses.cs.washington.edu/courses/cse517/13wi/slides/cse517wi13-RelationExtractionII.pdf)\n\n\n### Event Extraction\n\n* [事件抽取与金融事件图谱构建](https://www.jiqizhixin.com/articles/2018-10-17-12)\n\n\n### Survey\n* A Survey on Knowledge Graphs: Representation, Acquisition and Applications (2020). Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu. [[Paper]](https://arxiv.org/pdf/2002.00388) \n* Deep Learning in Knowledge Graph (2018), [[Note]](https://github.com/BrambleXu/knowledge-graph-learning/issues/31)\n* 知识图谱研究进展 (2017), 漆桂林等人. [[PDF]](http://tie.istic.ac.cn/ch/reader/create_pdf.aspx?file_no=201701002\u0026flag=\u0026journal_id=qbgc\u0026year_id=2017)\n* 知识图谱构建技术综述 (2016), 刘峤等人. [[PDF]](http://crad.ict.ac.cn/CN/article/downloadArticleFile.do?attachType=PDF\u0026id=3127)\n* 知识图谱技术综述 (2016), 徐增林等人. [[PDF]](http://www.xml-data.org/dzkj-nature/html/201645589.htm)\n* 知识图谱：大数据语义链接的基石 (2014), 李涓子. [[PPT]](http://bj.bcebos.com/cips-upload/kg2/kg2_ljz.pdf)\n* 垂直知识图谱构造工具与行业应用 (2014), 阮彤. [[PPT]](http://bj.bcebos.com/cips-upload/kg2/kg2_rt.pdf)\n* [Summary of Translate Model for Knowledge Graph Embedding](https://medium.com/@zhuixiyou/summary-of-translate-model-for-knowledge-graph-embedding-29042be64273)\n\n\n## Courses and Lectures\n\n* [从零开始构建知识图谱（知乎专栏）](https://zhuanlan.zhihu.com/c_1018901137012928512)\n\n\n## Datasets\n\n### Relation Extraction Dataset\n\n- [SemEval-2010 Task 8](https://github.com/sahitya0000/Relation-Classification), [link 2](https://github.com/shashwath94/Relation-Extraction-using-CNN)\n- [TACRED(charge)](https://nlp.stanford.edu/projects/tacred/)\n- [KGHUB and KGOBO, Biomedical ontologies](https://kg-hub.berkeleybop.io/)\n- [PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models](https://github.com/callahantiff/PheKnowLator)\n\n### Open datasets\n\n* [Annotated-Semantic-Relationships-Datasets(English)](https://github.com/davidsbatista/Annotated-Semantic-Relationships-Datasets)\n* [OpenKG.CN Datasets List(Chinese)](http://openkg.cn/dataset)\n* [Zhishi.me(Chinese)](http://zhishi.me/)\n\n## Implementations and Tools\n\n### Implementations\n\n* [Knowledge Graph Demo (上市公司高管图谱)](https://github.com/Shuang0420/knowledge_graph_demo), [文章](http://www.shuang0420.com/2017/09/05/%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98-%E7%9F%A5%E8%AF%86%E5%9B%BE%E8%B0%B1%E5%88%9D%E6%8E%A2/)\n* [KGQA_HLM (红楼梦 人物关系可视化及问答系统)](https://github.com/chizhu/KGQA_HLM)\n* [从零开始搭建一个电影知识图谱](https://github.com/Pelhans/Z_knowledge_graph)\n* [基于elasticsearch的KBQA实现及示例](http://www.openkg.cn/tool/elasticsearch-kbqa)\n* [电影知识图谱以及KBQA实现](https://github.com/SimmerChan/KG-demo-for-movie), [知乎文章](https://zhuanlan.zhihu.com/p/33363861)\n\n### Tools\n\n* [[Resource] Useful tools \u0026 lecture related to data science(中文)](https://github.com/BrambleXu/knowledge-graph-learning/issues/131)\n* [InteractiveGraph](https://github.com/grapheco/InteractiveGraph): [中文介绍](https://blog.csdn.net/bluejoe2000/article/details/104333111)\n* [Annotation tool: doccano](https://github.com/chakki-works/doccano)\n* [OpenNRE: An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow](https://github.com/thunlp/OpenNRE/), [NER paper](https://github.com/thunlp/NREPapers)\n* [DeepDive: a system to extract value from dark data](https://github.com/HazyResearch/deepdive), [Homepage](http://deepdive.stanford.edu/), [Papers](https://github.com/HazyResearch/deepdive/blob/master/doc/papers.md)\n* [HanLP: Han Language Processing（汉语言处理包）](https://github.com/hankcs/HanLP)\n* [句法依存分析抽取事实三元组](https://github.com/twjiang/fact_triple_extraction)\n* [cnSchema - 开放的中文知识图谱schema](https://github.com/cnschema/cnschema)\n* [知识图谱API](https://github.com/ownthink/KnowledgeGraph)\n* [OpenKE: An Open-source Framework for Knowledge Embedding](https://github.com/thunlp/OpenKE)\n* [Zhishi.me: Chinese Linking Open Data Online API](http://zhishi.me/)\n* [PyKEEN](https://github.com/pykeen/pykeen), 🤖 A Python library for learning and evaluating knowledge graph embeddings\n* [🍇 GRAPE](https://github.com/AnacletoLAB/grape), A Rust/Python library for Graph Representation Learning, Predictions and Evaluations\n\n## Community\n\n* [OpenKG.CN (开放的中文知识图谱)](http://openkg.cn/)\n* [北京知识图谱学习小组](https://github.com/memect/kg-beijing)\n\n\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbramblexu%2Fknowledge-graph-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbramblexu%2Fknowledge-graph-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbramblexu%2Fknowledge-graph-learning/lists"}