Disentagnled Graph Collaborative Filtering, SIGIR2020

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

图神经网络相关算法详述及实现

Papers on Graph neural network(GNN)

GNN综述阅读报告

Python package built to ease deep learning on graph, on top of existing DL frameworks.

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

StellarGraph - Machine Learning on Graphs

Summary of social recommendation papers and codes

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

Classic papers and resources on recommendation

Must-read papers on graph neural networks (GNN)

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

TensorFlow code and pre-trained models for BERT

《Deep Learning》阅读讨论班

An Open-Source Package for Network Embedding (NE)

A best practice for tensorflow project template architecture.

组会ppt与论文--每一次的精心准备都值得留下记录😛

Must-read papers on network representation learning (NRL) / network embedding (NE)

关于Python的面试题

对知识库Wikidata的爬虫以及数据处理脚本 将三元组关系对齐到语料库的脚本 获取知识图谱数据的脚本

Machine Learning

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

LibRec: A Leading Java Library for Recommender Systems, see

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …