Stars
[SIGIR'25] Code of "Generative Recommender with End-to-End Learnable Item Tokenization".
Learnable Item Tokenization for Generative Recommendation (CIKM'24)
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)
Graph Neural Network based Social Recommendation Model. SIGIR2019.
fat-tree topology and routing algorithms using mininet and pox
SDN Load Balancer using POX controller, which can be configured to use Round Robin or random scheduling methods.
🔬 [SDM'24] This is the source code and baselines of our paper FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning.
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
Model Poisoning Attack to Federated Recommendation
A collection of research papers on Federated Recommender Systems.
Source Code for WSDM paper "User Consented Federated Recommender System Against Personalized Attribute Inference Attack"
获取斗鱼&虎牙&哔哩哔哩&抖音&快手等 58 个直播平台的真实流媒体地址(直播源)和弹幕，直播源可在 PotPlayer、flv.js 等播放器中播放。
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Code for ijcai-23 paper "Dual Personalization on Federated Recommendation"
Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)
This is a library built upon RecBole for cross-domain recommendation algorithms
A pytorch port of google-research/google-research/robust_loss/
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The PyTorch implementation of LightGCN