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2022-nips-tenrec

ader

RecSys 2020 Best Short Paper

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

awesome-self-supervised-gnn

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

begin

Easy-to-use framework for graph continual learning with Python

ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

ci_lightgcn_master

continualgnn

Streaming Graph Neural Networks via Continual Learning (CIKM 2020)

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

degc

Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.

digress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

directau

KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gdumb

Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-mamba

Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces

hitszbeamer

A beamer theme for Harbin Institute of Technology, ShenZhen

lightgcn-pytorch

The PyTorch implementation of LightGCN

lihang-code

《统计学习方法》的代码实现

paddlerec

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，

pytorch-ddpm

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

recommendersystems

推荐系统

selfrec

An open-source framework for self-supervised recommender systems.

ss-gnn

tgin