241 Open source projects that are alternatives of or similar to TransE-Knowledge-Graph-Embedding

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

Multi-Hop Logical Reasoning in Knowledge Graphs

Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"

Using XLNet as Embedding of Keras

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.

A low code learning project run with github actions

Knowledge Graph Miner

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

RO is an ontology of relations for use with biological ontologies

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

Streaming, transforming, SPARQL-based CSV to RDF converter. Apache license.

A web only WYSIWYG note taking app that saves notes locally in markdown format.

An Industry Evaluation of Embedding-based Entity Alignment @ COLING'20

Neural Entity Typing with Knowledge Attention

Source code and datasets of EMNLP2018 paper: "Differentiating Concepts and Instances for Knowledge Graph Embedding".

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

A project that uses Binary Ninja and GRAKN.AI to perform static analysis on binary files with the goal of identifying bugs in software.

Combining relational context and relational paths for knowledge graph completion

Embed media and rich content in posts: YouTube, Vimeo, Twitch and more.

Data transformation framework for LinkML data models

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020

PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)

Intelligence Task Ontology (ITO)

Extracts a latent knowledge graph from text and index/query it in elasticsearch or solr

💠 Ontology matching system based on formal concept analysis

Combining relational context and relational paths for knowledge graph completion

Language Servers for Stardog Languages

Neural Entity Typing with Language Model Enhancement

Minimum-distortion embedding with PyTorch

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

TransE方法的Python实现，解释SGD中TransE的向量更新

The Knowledge Graph notebook. Apache license.

An Efficient RML-Compliant Engine for Knowledge Graph Construction

A curated list of ontology things

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.

Get Data Reused

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Metagraph是一款知识创作分享工具，不同于以往的知识创作平台，Metagraph提供了强大的内容关联能力。

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

Knowledge-aware recommendation papers.

code for Gogleva et al manuscript

TypeDB: a strongly-typed database

Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

knowledge graph recommendation

A paper list of research about social knowledge graph

An Open Source Knowledge Graph written in Rust

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

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

KE-Dialogue: Injecting knowledge graph into a fully end-to-end dialogue system.

STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)

Graph Data Visualization Demo| 图数据搜索可视化应用案例

KgCLUE: 大规模中文开源知识图谱问答

DeepEE: Deep Event Extraction Algorithm Gallery (基于深度学习的开源中文事件抽取算法汇总)

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.