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automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

cml

The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation

d2l-zh-pytorch-slides

Pytorch版代码幻灯片

gnn-in-rs

GNN in Recommendation System (ACM Computing Surveys 2022)PKU-DAIR实验室：首篇基于图神经网络的推荐系统综述，211篇参考文献

imp_gcn

Pytorch Implementation of Interest-Aware Message-Passing GCN for Recommender Systems

libmtl

多任务学习

lightgcn-pytorch

The PyTorch implementation of LightGCN

mbssl

mixgcf

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

pyecharts

🎨 Python Echarts Plotting Library

pygcl

PyGCL: A PyTorch Library for Graph Contrastive Learning

recbole

A unified, comprehensive and efficient recommendation library

recbole-gnn

Efficient and extensible GNNs enhanced recommender library based on RecBole.

rgcf

数据降噪[SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".

sgl-torch

SGL PyTorch version

sslrec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

web

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