Knowledge Graph WanderA collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods
Stars: ✭ 26 (-65.33%)
R-MeNTransformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
Stars: ✭ 74 (-1.33%)
AmpligraphPython library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Stars: ✭ 1,662 (+2116%)
semantic-python-overview(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...)
Stars: ✭ 406 (+441.33%)
ProcessorOntology-driven Linked Data processor and server for SPARQL backends. Apache License.
Stars: ✭ 54 (-28%)
KBRDTowards Knowledge-Based Recommender Dialog System @ EMNLP 2019
Stars: ✭ 123 (+64%)
KBENode.js application to extract the knowledge represented in Google infoboxes (aka Google Knowlege Graph Panel)
Stars: ✭ 27 (-64%)
CoLAKECOLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding
Stars: ✭ 86 (+14.67%)
Capricorn提供强大的NLP能力, low-code实现chatbot
Stars: ✭ 14 (-81.33%)
teachingTeaching material relevant to KGs
Stars: ✭ 61 (-18.67%)
MapeathorTranslator of spreadsheet mappings into R2RML, RML or YARRRML
Stars: ✭ 27 (-64%)
NBFNetOfficial implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
Stars: ✭ 106 (+41.33%)
nlmMemory for Knowledge Graph, using Neo4j. 知识图谱存储与查询。
Stars: ✭ 43 (-42.67%)
vsm-boxWeb-component for creating & showing VSM-sentences — Visual Syntax Method
Stars: ✭ 25 (-66.67%)
everythingThe semantic desktop search engine
Stars: ✭ 22 (-70.67%)
KG4RecKnowledge-aware recommendation papers.
Stars: ✭ 76 (+1.33%)
yang-dbYANGDB Open-source, Scalable, Non-native Graph database (Powered by Elasticsearch)
Stars: ✭ 92 (+22.67%)
ComplexNetwork中国娱乐圈关系挖掘,可以快速的查询明星之间的关系。This is a complex network of course assignments. The realization of the relationship analysis and visualization of China's entertainment industry, you can quickly query the relationship between the stars
Stars: ✭ 24 (-68%)
LD-ConnectLD Connect is a Linked Data portal for IOS Press in collaboration with the STKO Lab at UC Santa Barbara.
Stars: ✭ 0 (-100%)
Shukongdashi使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统
Stars: ✭ 109 (+45.33%)
CaREEMNLP 2019: CaRe: Open Knowledge Graph Embeddings
Stars: ✭ 34 (-54.67%)
harikaOffline-, mobile-first graph note-taking app focused on performance with the knowledgebase of any scale
Stars: ✭ 111 (+48%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+597.33%)
calamusA JSON-LD Serialization Libary for Python
Stars: ✭ 21 (-72%)
cognipyIn-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas
Stars: ✭ 31 (-58.67%)
morph-kgcPowerful RDF Knowledge Graph Generation with [R2]RML Mappings
Stars: ✭ 77 (+2.67%)
InteractEAAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Stars: ✭ 69 (-8%)
cskgCSKG: The CommonSense Knowledge Graph
Stars: ✭ 86 (+14.67%)
WSDM2021 NSMImproving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.
Stars: ✭ 84 (+12%)
codelaniPLDB: a Programming Language Database. A public domain knowledge graph focused on programming languages distributed as a CSV file.
Stars: ✭ 610 (+713.33%)
nenoNENO is a note-taking app that helps you create your personal knowledge graph.
Stars: ✭ 65 (-13.33%)
OLGAan Ontology SDK
Stars: ✭ 36 (-52%)
kgxKGX is a Python library for exchanging Knowledge Graphs
Stars: ✭ 78 (+4%)
news-graphKey information extraction from text and graph visualization
Stars: ✭ 83 (+10.67%)
CONVEXAs far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found at
Stars: ✭ 24 (-68%)
PaperMacheteA project that uses Binary Ninja and GRAKN.AI to perform static analysis on binary files with the goal of identifying bugs in software.
Stars: ✭ 49 (-34.67%)
hugo-documentation-theme📖 Project Docs / Knowledge Base template for Hugo Website Builder. 创建项目文档
Stars: ✭ 101 (+34.67%)
amie plusAMIE+ association rule mining
Stars: ✭ 24 (-68%)
gakgGAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.
Stars: ✭ 21 (-72%)
Market-Trend-PredictionThis is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).
Stars: ✭ 57 (-24%)
GGNN ReasoningPyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)
Stars: ✭ 34 (-54.67%)
biograknBioGrakn Knowledge Graph
Stars: ✭ 169 (+125.33%)
rclcRich Context leaderboard competition, including the corpus and current SOTA for required tasks.
Stars: ✭ 20 (-73.33%)
typedbTypeDB: a strongly-typed database
Stars: ✭ 3,152 (+4102.67%)
KCLCode and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]
Stars: ✭ 61 (-18.67%)
doctoral-thesis📖 Generation and Applications of Knowledge Graphs in Systems and Networks Biology
Stars: ✭ 26 (-65.33%)
skipchunkExtracts a latent knowledge graph from text and index/query it in elasticsearch or solr
Stars: ✭ 18 (-76%)
ZS-F-VQACode and Data for paper: Zero-shot Visual Question Answering using Knowledge Graph [ ISWC 2021 ]
Stars: ✭ 51 (-32%)
KGReasoningMulti-Hop Logical Reasoning in Knowledge Graphs
Stars: ✭ 197 (+162.67%)
ChineseStarsRelationship中国明星数据爬取。你甚至可以拿到互联网上所有的人之间的关系,接下来你可以自己发挥!基于这些数据,你可以完成更多有趣的事情。比如说社交网络分析,关系网络可视化,算法研究,和其他有意思的事情。Chinese star data crawling. You can even get all the people on the internet! Based on these data, you can do more interesting things. For example, social network analysis, relational network visualization, algorithm research, and other interesting things.
Stars: ✭ 26 (-65.33%)
KGPool[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
Stars: ✭ 33 (-56%)
obo-relationsRO is an ontology of relations for use with biological ontologies
Stars: ✭ 63 (-16%)
STransESTransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
Stars: ✭ 50 (-33.33%)