zzyo-yu

zzyo-yu's Stars

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.3k33441.4k

• princeton-nlp/SimCSE

  [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

  Language:Python3.5k30274520

• Coder-Yu/QRec

  QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

  Language:Python1.6k69145406

• reczoo/FuxiCTR

  A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

  Language:Python9911268167

• RUCAIBox/RecSysDatasets

  This is a repository of public data sources for Recommender Systems (RS).

  Language:Python9041439133

• Coder-Yu/SELFRec

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

  Language:Python53677079

• RUCAIBox/RecBole-GNN

  Efficient and extensible GNNs enhanced recommender library based on RecBole.

  Language:Python17494341

• wujcan/SGL-TensorFlow

  Language:Python17233543

• RUCAIBox/NCL

  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".

  Language:Python11966020

• raminnakhli/Decoupled-Contrastive-Learning

  This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

  Language:Python11111211

• akaxlh/HCCF

  HCCF, SIGIR 2022

  Language:Python9611825

• reczoo/RecBox

  A box of core libraries for recommendation model development

  Language:Python9031219

• THUwangcy/DirectAU

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

  Language:Python673105

• WenjieWWJ/DenoisingRec

  Adaptive Denoising Training (ADT) for Recommendation.

  Language:Python673313

• YuWangUO/CAGCN

  This repository includes the implementation of CAGCN and the experiments on link prediction/node classification

  Language:Python504010

• yifeiacc/COSTA

  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

  Language:Python48344

• tanatosuu/GDE

  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation

  Language:Python32145

• BUPT-GAMMA/CIAH

  Co-clustering Interactions via Attentive Hypergraph Neural Network (SIGIR 2022)

  Language:Python24134

• Wu-Xi/SimGCL-MixGCF

  Language:Python24121

• nuster1128/RecBole-MetaRec

  RecBole-MetaRec is an extended module for RecBole, which aims to help researchers to compare and develop their own models in the meta learning recommendation field.

  Language:Python23253

• tanatosuu/svd_gcn

  CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

  Language:Python20123

• zealscott/SGDL

  Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

  Language:Python18178

• ChangxinTian/RGCF

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

  Language:Python16187

• mpanpan/SimGRACE

  [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"

  Language:Python160011

• RUCAIBox/RecBole-TRM

  Language:Python13385

• huangjunjie-cs/LDA-GCL

  source code for LDA-GCL(DASFAA 2023)

  Language:Python7130

• Sherry-XLL/Social-Datasets

  A collection of social datasets

  6111

• wang22ti/Iterative-Relabeled-One-Class-Collaborative-Filtering-against-Noisy-Interactions

  Language:Python6211

• yimingzhang06/HCCF-pytorch

  Language:Jupyter Notebook2100

• AbhishekKavin/SimpleExponentialSmoothing

  Language:Jupyter Notebook1