📚 To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS 💫 程序员的技术视野、知识管理与职业规划，提高个人与团队的研发效能

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

Grakn Core: The Knowledge Graph

A curated list of network embedding techniques.

Open-Source Networked Thought. Rolling out our Beta to Sponsors. Read more at https://www.notion.so/athensresearch/MVP-Update-Funding-and-Why-I-Started-Athens-e68822f0c3654660ae621cdcbf932bc4

Python implementation of TextRank for phrase extraction and summarization of text documents

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

供应链中台系统基础版，集成零售管理, 电子商务, 供应链管理, 财务管理, 车队管理, 仓库管理, 人员管理, 产品管理, 订单管理, 会员管理, 连锁店管理, 加盟管理, 前端React/Ant Design, 后端Java Spring+自有开源框架，全面支持MySQL, PostgreSQL, 全面支持国产数据库南大通用GBase 8s,通过REST接口调用，前后端完全分离。

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

搜索所有中文NLP数据集，附常用英文NLP数据集

Contextualise is a simple but flexible tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

GraphVite: A General and High-performance Graph Embedding System

自然语言处理、知识图谱、对话系统三大技术研究与应用。

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

A collection of research on knowledge graphs

Map drawing and topic visualization for your wiki

SentiBridge: A Knowledge Base for Entity-Sentiment Representation

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

A curated list of awesome knowledge graph tutorials, projects and communities.

The OpenCog (hyper-)graph database and graph rewriting system

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

An experimental personal knowledge base with a focus on connections

基于Pytorch和torchtext的知识图谱深度学习框架，包含知识表示学习、实体识别与链接、实体关系抽取、事件检测与抽取、知识存储与查询、知识推理六大功能模块，已实现了命名实体识别、关系抽取、事件抽取、表示学习等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

A tensorflow implementation of RippleNet

novel deep learning research works with PaddlePaddle

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

基于深度学习的开源中文关系抽取框架