tensorflow实战练习，包括强化学习、推荐系统、nlp等

An Open-Source Package for Knowledge Embedding (KE)

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

推荐系统实例

本系统是我的毕业设计项目，题目为“基于用户画像的电影推荐系统的设计与实现”。主要是以Django作为基础框架，采用MTV模式，数据库使用MongoDB、MySQL和Redis，以从豆瓣平台爬取的电影数据作为基础数据源，主要基于用户的基本信息和使用操作记录等行为信息来开发用户标签，并使用Hadoop、Spark大数据组件进行分析和处理的推荐系统。管理系统使用的是Django自带的管理系统，并使…

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

Pytorch implementation of a RGCN Link Prediction Model

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

商品推荐系统

A PyTorch implementation of RippleNet

reimplement TransE Mode

Mark and summarize the NLP project has been through

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network f…

Pytorch implementation of Relational GCN for node classification

Codes for WWW2022 accepted paper: SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Knowledge Graph Reasoning with Relational Digraph. WebConf 2022

Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)

Reimplement TransH mode

Code and data for paper DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning (WSDM 2022)

Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data, WWW 2022