NIKE-ADIDAS

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

AIinterview

算法工程师面试题整理

kdd2021-tutorial

EconML/CausalML KDD 2021 Tutorial

Recommand-Algorithme

推荐算法实战(Recommend algorithm)

Awesome-Uplift-Model

🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】

LAGCN

Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"

36-methods-for-data-analysis

TransTEE

recommendation-pytorch

基于王喆老师的深度学习推荐系统书籍，主要用pytorch实现了里面涉及到的算法，有很少数量的算法是用tf2.0实现的。在这个过程中也参考很多大佬的复现代码，希望自己能持续学习 多多去实现。

GraphCDR

GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction

GraphNeuralNetWork

玩转图神经网络和知识图谱的相关算法：GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe

MVGCN

MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

scGPCL

The official source code for "Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning", accepted at Bioinformatics (Volume 39, June 2023) and 2023 ICML workshop on Computational Biology.

SiGraC

MELODI-Presto

A fast and programmatic MELODI

periodicals

Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations

KGCLG

Knowledge Graph Recommender System with Contrastive Learning and GCN

MHAGP

Comparing-node-embedding-methods-and-classifiers-for-predicting-disease-genes

This repository contains the Python code of the work done for the project of a course called "Learning from Networks" (Master Degree in Data Science).

AMMGC

python-kaggle-start-book

『PythonではじめるKaggleスタートブック』のサンプルコード・脚注・正誤表

Signed-Graph-Contrastive-Learning

graph-cl

💾 Graph contrastive learning.

GMGCL

GMGCL: Global-local Multi-view Graph Contrastive Learning for Recommendations

08-Double-Machine-Learning

gnn_gda

Availability of data and materials related to the paper Identifying candidate Gene-Disease Associations via Graph Neural Networks

COVID-19_Double_Machine_Learning

Determined the role that temperature plays in the spread of COVID-19 using double machine learning causal inference.