RUCAIBox / Negative-Sampling-Paper
This repository collects 100 papers related to negative sampling methods.
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- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆252Updated 4 years ago
- An up-to-date, comprehensive and flexible recommendation library☆204Updated last year
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- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆104Updated 3 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆371Updated 6 months ago
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- A curated list of resources on cold-start recommendations.☆163Updated 2 months ago
- SGL PyTorch version☆106Updated 3 years ago
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- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆247Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- The code of CL4CTR☆48Updated last year
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- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".☆84Updated 2 years ago
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆127Updated 3 months ago
- A curated model zoo for recommendation tasks☆184Updated 9 months ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago