dongkai.liang's repositories
A-community-detect-System-based-on-GraphX
图计算和图存储在国内兴起于2012年，此项目为我的本科毕业设计，本人现在TOP厂商工作，工作要求不方便公开透露公司，曾研究图数据库2年，实验室数据库技术从2000年以前开始积累，对外低调，如有工作需要可以推荐！
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
bert4keras
light reimplement of bert for keras
chatbot
kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat
chatbot-base-on-Knowledge-Graph
使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统
datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
Event-Extraction
基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
IGMC
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
InfoFlow
An Apache Spark implementation of the InfoMap community detection algorithm
InfoFlow-GraphFrame
GraphFrame implementation of InfoFlow, an Apache Spark community detection algorithm
Knowledge_Graph_Reasoning_Papers
Must-read papers on knowledge graph reasoning
learn-gremlin-jupyter-notebook
As a believer of learning through examples, I have decided to put my own examples of Gremlin queries inside Jupyter Notebooks for people to actually try out. The course is roughly based on this book (http://kelvinlawrence.net/book/Gremlin-Graph-Guide.pdf) by krlawrence but adapted into Python for execution inside a Jupyter Notebook.
Neo4j-KGBuilder
Neo4j+springboot+vue+d3.js知识图谱构建和可视化
OCR_REST_api
深度学习OCR REST api (Flask+Redis+Keras)
Product-Series
:books: 产品迷思，不仅仅是产品经理，对于产品设计、交互体验、项目管理、行业视点等多方面的思考。
py_change_code
繁体简体的转换：繁转简 （繁体转简体）、 简转繁体（简体转繁体）
Recommender-System
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.