zhenying123

zhenying123's Stars

• wangshusen/RecommenderSystem

  2.3k346

• Doragd/Algorithm-Practice-in-Industry

  搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

  Language:Python2.3k288

• KID-22/LLM-IR-Bias-Fairness-Survey

  This is the repo for the survey of Bias and Fairness in IR with LLMs.

  403

• zhenying123/FairDLA_new

  Source codes of FairDLA

  Language:Python1

• zhenying123/FairDLA

  Language:Python1

• ZzoomD/FairINV

  Source codes of FairINV

  Language:Python2

• arcee-ai/mergekit

  Tools for merging pretrained large language models.

  Language:Python4.6k410

• hantang/latex-templates

  A collection of awesome LaTeX Thesis/Dissertation templates and beyond! （LaTeX / Word / Typst / Markdown 格式的学位论文、演示文稿、报告、项目申请书、简历、书籍等模板收藏）

  Language:TeX21010

• changdaeoh/FarconVAE

  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"

  Language:Python223

• zhuxinyu2700/AFRL

  PyTorch implementation code of AFRL for Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment accepted by SIGIR.

  Language:Python4

• ihollywhy/FactorGCN.PyTorch

  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20

  Language:Python519

• wuch15/AAAI-FairRec

  Fairrec: fairness-aware news recommendation with decomposed adversarial learning

  Language:Jupyter Notebook158

• NOVAglow646/OOD-Generalization-Paper-Reading-Notes

  OOD Generalization/LLM/In-context Learning相关文章的阅读笔记

  18

• EdisonLeeeee/Awesome-Fair-Graph-Learning

  Paper List for Fair Graph Learning (FairGL).

  12513

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python1.9k413

• ZzoomD/FairSAD

  A PyTorch implementation of "Fair Graph Representation Learning via Sensitive Attribute Disentanglement"

  Language:Python4

• Landon5282/FairSIN

  Code for paper FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

  Language:Python7

• BUPT-GAMMA/FairSIN

  Code for paper FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

  Language:Python4

• Alpha-VL/ConvMAE

  ConvMAE: Masked Convolution Meets Masked Autoencoders

  Language:Python47741

• Seaocn/Motif-Backdoor

  Language:Python31

• Somedaywilldo/AutoGCL

  AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)

  Language:Python436

• Shen-Lab/SS-GCNs

  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

  Language:Python10927

• LirongWu/awesome-graph-self-supervised-learning

  Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

  1.4k166

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python87597

• JinheonBaek/GMT

  Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

  Language:Python9920

• harryjo97/EHGNN

  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)

  Language:Python496

• Mayueq/DropMix-Code

  Code for Paper: DropMix: Better Graph Contrastive Learning with Harder Negative Sample

  Language:Python1

• Hzzone/TCL

  Twin Contrastive Learning with Noisy Labels (CVPR 2023)

  Language:Python6910

• WxTu/RARE

  IEEE TKDE 2023-RARE: Robust Masked Graph Autoencoder

  Language:Python6

• shlokk/mae-contrastive

  Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".

  Language:Python283